Nat. Science/Eng/Math Division

Courses

BIOL 1151: Introduction to Biology Practicum

This course will introduce students to the four major themes of our curriculum: ecosystems, organisms, cell and molecules. Practicum in scientific methodology, critical thinking, reading and writing, focusing on analysis of scientific literature through discussion, team based learning and invited researcj presentations. Laboratory 3 hours per week. Co-requisite: BIOL 1351

BIOL 1152: Basic Lab Techiques in Biology

Introduction to biology as a scientific process as revealed through inquiry-based laboratories. Introduction to quantitative and qualitative laboratory methods in cell and molecular biology. Meets 3 hours per week.

BIOL 1351: Introduction to Population Biology and Evolution

Overview of biological concepts underlying the unity and diversity of life. Focus on basic Mendelian genetics, population biology, evolutionary concepts, the origins of life, plant colonization of land, animal diversity and ecological concepts.

BIOL 1352: Introduction to Cell and Molecular Biology

Continuation of overview of biological concepts underlying the unity and diversity of life. Focus on the molecular and cellular foundations of life as revealed in study of water, macromolecules, membranes, cellular metabolism, photosynthesis, cellular reproduction, and the molecular basis of inheritance.

BIOL 1422: Ecosystems, Society and Health

Combines the lecture and laboratory for a four credit, compressed track course that will investigate a local or foreign ecosystem and correlate features of that ecosystem with human health. The course includes a domestic or international fieldtrip and will allow students to integrate the concepts of ecology biodiversity and epidemiology through observation, data collection and data analysis.

BIOL 2201: Nutrition

A study of the nutrients in foods and the body's response. Nutrient requirements associated with health at various life stages will be explored. Teaching methodologies will include a combination of classroom-based lectures and online modules.

BIOL 2333: Introduction to Microbiology and Laboratory

Introduction to microbiology and Lab is the study and overview of the structure, function, diversity, physiology, culture, and control of bacteria and other microorganisms. Emphasis will be placed on developing an understanding of fundamental concepts of microbiology such as microbial growth, metabolism, genetics, pathogenesis, immunity, and epidemiology. This course will also introduce the use of therapeutic agents to prevent or treat infectious diseases caused by clinically relevant microorganisms including bacteria, fungi, parasites, and viruses. The course will include systematic case studies on microbial disease. The laboratory component of the course will be virtual and cover basic laboratory concepts of microbiology. Fundamental microbiology techniques such as the aseptic technique, microscopy, isolation, and cultivation of microorganisms will be studied. In addition, an overall survey of microbes and their control will be conducted.

BIOL 3055: Computational Methods Research

This course will introduce students into different methods, techniques, and approaches for conducting computational research applied to different disciplines such as Biology, Health Sciences, Textual Analysis, Humanities, and more.

BIOL 3061: Cell Biology Lab

Study of cellular structure/function relationships. Focus on membranes, internal compartments, cytoskeleton and cellular communication. Laboratory will include inquiry-based investigations.

BIOL 3134: Biochemistry Lab

(CHEM 3134) Preparation of dilutions, buffer preparation, titration of amino acids, colorimetric tests for proteins, carbohydrates and nucleic acids, chromatography, preparation of standard curves for unknown identification, spectrophotometry, enzyme kinetics and electrophoresis. Accompanies CHEM 3334. Laboratory: 3 hours per week. Prerequisites: CHEM 2343, 2143.

BIOL 3162: Introduction to Computational Biology

Students will receive an introduction to the role of computation and programming in the biological sciences and work with a faculty member in the Biology Department to set up an internship with a computational biology laboratory or company. Prerequisites: BIOL 1315/1151, BIOL 1352/1152

BIOL 3163: Introduction to Computational Biology Internship

Students will receive an introduction to the role of computation and programming in the biological sciences and work with a faculty member in the Biology Department to set up an internship with a computational biology laboratory or company. Prerequisites: BIOL 1315/1151, BIOL 1352/1152

BIOL 3194: Introduction to Biological Research

This course is the introductory research course for all students seeking a Bachelor of Science in Biology or Cell and Molecular Biology. It will offer an introduction to conducting research in the biological field. Emphasis will be placed on the foundations of scientific literacy, writing and presentation. Students will meet all Biology research faculty and hear about open projects. This course will also offer safety and lab proficiency training.

BIOL 3300: Field Studies in Ecology and Environmental Science

Field course in ecology and environmental science. Survey of physical and biological processes and their interactions in different natural settings. Introduction to field techniques and methodologies, ecosystem dynamics, and issues in natural resource management and conservation in selected locations in the United States and abroad. Much of the course time will be spent outdoors.

BIOL 3321: Genetics

Organization and function of the genetic material in prokaryotes and eukaryotes. Includes basic principles and problems in molecular and biochemical genetics as well as study of patterns of inheritance.

BIOL 3331: Ecology

Principles governing interactions between organisms and their physical and biotic environments. Includes study of the biology of populations, communities and ecosystems. Prerequisite: BIOL 3321

BIOL 3339: Neuroscience

Study of the structure and function of the nervous system of vertebrates and invertebrates. Lecture: 3 hours. Prerequisites(With Grade of 'C' or Better): BIOL 3321. Offered when necessary.

BIOL 3345: Physiology

Introduction to the basic concepts of physiological regulation from cellular level to organ system level. Emphasis on mammalian systems.

BIOL 3351: Molecular Biology

An examination of the structure, organization and replication of DNA and the control of gene expression through transcription and translation. Emphasis also on theory behind current techniques. Prerequisites: BIOL 3321; CHEM 2343.

BIOL 3362: Cancer Biology

This course will explore the basic biology of cancer using current knowledge in cellular and molecular mechanisms involved in cancer development, propagation, and metastasis. Students will learn about current cancer treatments, novel approaches for cancer therapeutics and explore ongoing cancer research by studying, presenting and critiquing the scientific literature, as well as through guest lectures from scientists and physicians.

BIOL 3435: Human Anatomy and Lab

A systems-based approach to understanding the major anatomical structures of the human body is essential to understanding human biological functions. This upper-division lecture and lab course will examine the major organ systems independently (muscles, cardiovascular, nervous, respiratory etc.) as well as how each system interacts with one another. The course will focus on gross anatomy (macroscopic; visible to the naked eye) via lectures, models, animal dissections and the Anatomage Table. Additionally, we will discuss relevant histological structures (microscopic anatomy) using mounted specimens Virtual Dissecto and virtual histological libraries. The course will also examine relevant applications of anatomical systems to the medical field. This comprehensive introduction to human anatomy and histology is designed for biology majors and/or those on a pre-health track.

BIOL 3440: Plant Physiological Ecology

Study of abiotic and biotic factors that influence the dynamics of plant communities. After initial study of individual leaves and whole plants, the physiological processes are scaled up to canopy and ecosystem level. Lecture: 3 hours. Laboratory: 3 hours. Laboratory methods in plant physiological ecology. Addresses ecological principles, vegetation sampling methods and physiological and biochemical techniques. Local field trips for sampling. Prerequisites: CHEM 2343, BIOL 3321, MATH 3430.

BIOL 3444: Invertebrate Zoology

A survey of the invertebrates, with emphasis on their evolution and their structural and physiological adaptations. Lecture: 3 hours. Laboratory: 3 hours. Prerequisites BIOL 1342, 1142, CHEM 1342,1142.

BIOL 3445: Developmental Zoology

Embryonic development in vertebrates and invertebrates. Emphasis on early embryonic events, molecular interactions and gene expression. Lecture: 3 hours. Laboratory: 3 hours. Prerequisites: BIOL 3321, 3351.

BIOL 3446: Comparative Histology

Comparison of the structure and ultrastructure of cells and tissues that constitute the organs and organ systems of vertebrates and invertebrates. Laboratories will feature the use of the light microscope for study of prepared slides of animal tissues. Lecture: 3 hours. Laboratory: 3 hours.

BIOL 3450: Plant Physiology

Introduction to basic concepts of plant function, carbon metabolism, energy acquisition, regulation of growth and development, stress responses and nutrient uptake. Lecture: 3 hours, Laboratory: 3 hours: Study of the function and performance of plants in their environment. Focus on physiological and biochemical processes involved in plant growth, development and survival in the environment. Prerequisites: CHEM 2343, BIOL 3321, MATH 3430.

BIOL 3461: Cell Biology

Study of cellular structure/function relationships. Focus on membranes, internal compartments, cytoskeleton and cellular communication. Laboratory will include inquiry–based investigations. Prerequisites: BIOL 3321. Lecture: 3 hours. Laboratory: 3 hours.

BIOL 4111: Bioscience Communication I

Discussion of current topics in biology. Students will be required to read, present and discuss current articles in the biological literature. Prerequisites: junior or senior standing

BIOL 4112: Bioscience Communication II

Discussion of current topics in biology. Students will be required to read, present and discuss current articles in the biological literature. Prerequisites: junior or senior standing

BIOL 4194: Guided Biological Research

This course is the second research course for all students seeking a Bachelor of Science in Biology or Cell and Molecular Biology. Students will perform biological research under the supervision of their Research Mentor. Research mentors will provide specific research goals that students are expected to meet through the semester. Students will also be expected to identify and read scientific literature relevant to their research project. At the end of the semester, students must present their project to a committee of faculty members. Prerequisites: BIOL 3321, BIOL 3194. Min. of 50 documented research hours with your Biology Faculty member.

BIOL 4195: Biology Senior Thesis

This course is the third and final research course for all students seeking a Bachelor of Science in Biology or Cell and Molecular Biology. This writing intensive course will focus on the production of an undergraduate research thesis. Students will learn effective strategies for scientific writing and apply those lessons by writing about their own research. Students will be required to perform multiple revisions prior to final submission and will conduct extensive peer-to-peer review.

BIOL 4212: Neuropsychology Research Topics

This is a capstone class for students minoring in Neuroscience. Students will read and present on current primary literature and learn how to critically evaluate scientific claims. Students will study primary Neuroscience literature in order to learn and apply appropriate statistical methods, strategies for reading scientific literature, and tips for successful oral presentation of technical material. Students will be graded heavily on participation and performance on the final presentation. Prerequisite: PSYC 3434 or MATH 3450 and BIOL 3339

BIOL 4321: Nucleic Acids

Nucleic acids are a class of incredibly interesting biopolymers that make life possible. Once considered simply information molecules, we now know that nucleic acids are actually quite versatile in their activity and function. This class will delve into the different aspects of nucleic acid structure and function in detail. Pre/Co-requisite: BIOL 3321

BIOL 4332: Evolution

Introduction to modern evolutionary theory. Includes discussion of adaptation, speciation, phylogenetics and molecular evolution. Prerequisites: BIOL 3321, senior standing.

BIOL 4333: Research Methods in Biological Investigation

Introduction to methodology utilized in biological studies, including both field and laboratory techniques. Emphasis on student research, including preparation of research proposal and written as well as oral presentation of results. Prerequisites: BIOL 3321; junior standing.

BIOL 4334: Research Methods in Ecology

Introduction to methodology utilized in ecological research, including both field and laboratory techniques. Emphasis on student research, including preparation of research proposal and written and oral presentation of results. Prerequisites: BIOL 3321, 3331; junior standing.

BIOL 4336: Cells, Genes and Molecules

Cells, Genes and Molecules is a course that will address the latest advances in genetics, investigate developmental mechanisms, and explore human genetic disorders by understanding the underlying connection between genes, and the molecular and biochemical basis for the pathogenesis and pathophysiology of clinical disorders. Observations and phenomena will be described as they were discovered in a variety of model organisms, including humans, mice, nematodes, fungi, and fruit flies. The format of the course will be a combination of lectures, discussion of current literature, and group problem-solving sessions. The course will also feature presentations by guest speakers from Houston's world-class Medical Center.

BIOL 4354: Pathogenic Microbiology

Study of disease-causing microbes with a focus on host-pathogen interactions, virulence factors, host response, transmission, detection, and prevention. The course will stress important human, plant and animal diseases caused by viruses, bacteria and protozoans. Emphasis will be placed on the emerging molecular techniques used to understand, identify and control epidemics. Prerequisites: BIOL 3321

BIOL 4440: Microbial Ecology

Relationships between microorganisms and their biotic and abiotic environments. Includes the study of fundamental principles of the ecology of microorganisms as well as the significance of microbial interactions with plants and animals and their effect on human health and environmental quality. Lecture: 3 hours. Laboratory; 3 hours. Prerequisites: BIOL 3321, 3331.

BIOL 4450: Microbial Genetics

Study of all aspects of the genetics of bacteria, including DNA replication, bacterial genome structure, gene expression and regulation, gene transfer, and bacteriophage genetics. Students will learn about these topics in light of both classics and cutting-edge molecular and bioinformatics-based approaches. The class will also survey the latest applications of microbial genetics to the fields of biotechnology, genetics engineering, agriculture and medicine. 3 lecture hours, 3 hours laboratory per week. Prerequisties: BIOL 3321/3121

CHEM 1100: The Chemistry of Food Lab

This lab course will introduce students to the scientific method, chemical transformations and analysis using food, cooking and baking as the model system. Students will be expected to perform a combination of take-home cooking exercises and in-lab analysis of various foods. Comparisons of how different starting materials and different amounts of certain materials influence the final product will be emphasized. Analytical test on foods will be carried out to emphasize food quality and chemical components

CHEM 1102: Quantitative Reasoning for Chemistry Scholars

The Quantitative Reasoning for Chemistry Scholars course will cover relevant quantitative concepts and problem-solving strategies for General Chemistry I (CHEM 1341). This course focuses on the application of those concepts which are discussed in CHEM 1341 lecture. The course involves developing speed, accuracy and proficiency with the following quantitative skills: Basic arithmetic operations, calculations with exponents, decimals and the metric system, basic algebraic manipulations, dimensional analysis, conversions, significant figures, word problems, quantitative relationships in the periodic table, chemical nomenclature, balancing equations, stoichiometry, and concentrations. All MSEIP Scholars are required to enroll in this course. However, non-MSEIP Scholars must receive instructor approval to enroll. This is a Pass/Fail course.

CHEM 1141: General Chemistry I Laboratory

The experiments illustrate and reinforce chemical principles and concepts presented in General Chemistry I. Emphasis is on the interpretation and reporting of data as well as facility in handling laboratory equipment.

CHEM 1142: General Chemistry II Laboratory

The experiments illustrate and reinforce chemical principles and concepts presented in General Chemistry II. Emphasis is on the interpretation and reporting of data as well as facility in handling laboratory equipment.

CHEM 1300: Chemistry of Food

This core course will introduce students to the scientific method and chemistry using the components and transformations associated with food and cooking/baking. This course will cover general chemistry, organic chemistry and biochemistry topics as they relate to food and cooking. Student will be expected to utilize their knowledge of the chemical properties and the cooking/baking process to predict how alterations to a recipe will alter the final food produced

CHEM 1341: General Chemistry I

Fundamental laws and concepts are presented and studied qualitatively and quantitatively. Topics include atomic and molecular structure; bonding, intermolecular forces, stoichiometry, and aqueous solutions.

CHEM 1342: General Chemistry II

Fundamental laws and concepts are presented as they relate to thermochemistry, gases, colligative properties, thermodynamics, kinetics, equilibria, electrochemistry, and solids.

CHEM 2143: Organic Chemistry I Laboratory

Practical experience in the fundamental techniques of preparing, purifying and identifying organic compounds, and investigations into some of the more important reactions of specific compounds. Laboratory: minimum 4 hours per week.

CHEM 2343: Organic Chemistry I

Chemistry of carbon–containing compounds. First semester: principles of structure, mechanism and reactivity as a basis for explaining organic chemical reactions. Second semester: these basic concepts are used to develop an understanding of the reactions of functional groups found in organic molecules.

CHEM 3133: Organic Chemistry II Laboratory

Practical experience in the fundamental techniques of preparing, purifying and identifying organic compounds, and investigations into some of the more important reactions of specific compounds. Laboratory: minimum 4 hours per week.

CHEM 3134: Biochemistry Laboratory

(BIOL 3134) Preparation of dilutions, buffer preparation, titration of amino acids, colorimetric tests for proteins, carbohydrates and nucleic acids, chromatography, preparation of standard curves for unknown identification, spectrophotometry, enzyme kinetics and electrophoresis. Accompanies CHEM/BIOL 3334. Laboratory: 3 hours per week. Corequisite: CHEM 3334. Prerequisites: junior standing; CHEM 2343, 2143 or permission of instructor.

CHEM 3333: Organic Chemistry II

Chemistry of carbon–containing compounds. First semester: principles of structure, mechanism and reactivity as a basis for explaining organic chemical reactions. Second semester: these basic concepts are used to develop an understanding of the reactions of functional groups found in organic molecules.

CHEM 3343: Analytical Chemistry

Classical Quantitative Analysis. Gravimetric and volumetric methods of analysis, including stoichiometry, equilibria, acids, bases, buffers, redox chemistry and electrochemistry. Instrumental methods are introduced. The use of statistics in data analysis will also be covered. Co–requisite: CHEM 3143.Prerequisites: CHEM 1341, 1342.

CHEM 3353: Computational Chemistry

Introduction to the main areas of computational chemistry including theoretical background, algorithms and implementation, and applications in molecular modeling. Major topics include potential energy surfaces, molecular mechanics, continuum methods, docking, molecular dynamics, quantum mechanics, basis-sets, and post Hartree-Fock methods. This hands-on course will also provide experience in scientific programming in Python, and use a variety of free software tools for molecular visualization and simulation. No prior programming experience is assumed.

CHEM 4112: Scientific Communication

This course develops the abilities of students to communicate science effectively in a variety of contexts. Topics include speaking and writing science. Students will also research an approved topic and present their work in the form of a professional meeting. Prereq: Junior/Senior standing

CHEM 4131: Advanced Organic Chemistry Laboratory

Application of modern laboratory techniques in research projects encompassing use of the literature, modern synthetic protocols, including “green chemistry” and spectroscopic analysis. Minimum 4 hours of laboratory each week.

CHEM 4150: Laboratory Research Methods

Students participate in an independent research project under the direction of a faculty member. A minimum of 3 laboratory hours per week is required. Students interested in taking this course should seek a faculty research advisor in advance of registering for this course since this course is only offered when funding and enrollment positions are available. Enrollment by instructor permission only.

CHEM 4151: Senior Thesis

Students in this course will continue the independent research projects begun in CHEM 4150. A minimum of 3 laboratory hours per week are expected for students enrolled in this course. Successful completion of this course requires students to write a formal research paper over the research project. Enrollment by instructor permission only.

CHEM 4161: Physical Chemistry I Laboratory

Covers measurement techniques related to thermodynamics and kinetics. Topics include electronic measurements of pressure and temperature, gas phase spectroscopy, thermodynamic cycles, and reaction kinetics. Analysis topics include confidence intervals, linear and non-linear regression, propagation of errors, and Python programming for numerical analysis and visualization.

CHEM 4250: Laboratory Research Methods

Students participate in faculty and departmental research programs. The initial project may be continued or a new project undertaken for additional credit. A minimum of 3 laboratory hours per week per credit hour. Nonchemistry majors may enroll with permission of the faculty research advisor. Course is offered when research funding and faculty advisors are available. (Pass/Fail grade).

CHEM 4331: Advanced Organic Chemistry

Concepts of modern organic chemistry with special emphasis on bonding theory, stereochemistry, reaction mechanism, structure determination, synthesis design and heterocyclic chemistry.

CHEM 4332: Inorganic Chemistry

A selection of basic and current topics of inorganic chemistry. Topics include: atomic theory, ionic and covalent bonding, acid/bases and nonaqueous solvents, symmetry, transition metal (structures, chemistry and bonding) and organometallics. Prerequisites: CHEM 3333, 3133. Corequisite: 4132.

CHEM 4334: Advanced Biochemistry

Focus will be on advanced topics such as detailed analysis of nucleic acid chemistry, nucleic acid–protein interactions, protein–protein interactions and some special topics on the biochemistry of diseases. The course will include instructor–led lectures and group discussions of classical and current primary literature papers. Prerequisites: CHEM/BIOL 3334

CHEM 4344: Advanced Analytical Techniques

This advanced course has an applications-focused approach to analytical chemistry with an emphasis on the development of analytical skills useful to any scientific field. A major component of this course will be method development and optimization. Students will be expected to draw on prior knowledge of general and analytical chemistry concepts and laboratory skills. This course will allow the student to delve deeper into the analytical process using a variety of modern analytical techniques and instrumentation to separate, identify, and quantify analytes. Students will be encouraged to select new techniques and instrumentation that involve industrial, clinical and environmental applications.

CHEM 4350: Laboratory Research Methods

Students participate in faculty and departmental research programs. The initial project may be continued or a new project undertaken for additional credit. A minimum of 3 laboratory hours per week per credit hour. Nonchemistry majors may enroll with permission of the faculty research advisor. Course is offered when research funding and faculty advisors are available. (Pass/Fail grade).

CHEM 4361: Physical Chemistry I

Covers thermodynamics and kinetics from a molecular perspective. Major topics include atomic and molecular degrees of freedom, gases, statistical mechanics, macroscopic thermodynamics, and kinetics. An emphasis is placed on understanding the assumptions that go into first principle derivations and how those assumptions can break down in practical application. Main application areas are molecular spectroscopy, expansion/compression of gases, thermodynamic cycles, chemical equilibrium, pure and mixed phase behavior, and dynamics of chemical reactions. The language of calculus is used throughout.

CHEM 4362: Physical Chemistry II

Covers kinetic molecular theory and quantum mechanics. Major topics include continuous probability distributions, the origins of quantum theory, solutions to Schrodinger's equation for model systems and the hydrogen atom, approximation methods including perturbation and variational principle, and iterative solutions based off the Hartree-Fock method. Main application areas are molecular spectroscopy, tunneling, computational chemistry, and potential energy surfaces. The language of calculus and differential equations is used throughout.

CHEM 4364: Materials Science

This course will cover physical and chemical concepts of materials with a special emphasis on nanomaterials. After introducing underlying concepts of condensed matter physics the relationship between structure, properties (electrical, optical, chemical, magnetic) and performance of nanomaterials is investigated. Characterization and fabrication methods as well as interdisciplinary applications ranging from drug delivery and therapy to nanoelectronics and alternative energy production are discussed.

CHEM 4450: Laboratory Research Methods

Students participate in faculty and departmental research programs. The initial project may be continued or a new project undertaken for additional credit. A minimum of 3 laboratory hours per week per credit hour. Nonchemistry majors may enroll with permission of the faculty research advisor. Course is offered when research funding and faculty advisors are available. (Pass/Fail grade).

CHEM 5301: Engineering Flow and Heat Exchange

Course aims to equip students with the practical tools needed to apply fluid mechanics and heat transfer in an industrial setting. Topics covered include: Mechanical energy balance; flow of Newtonian and non-Newtonian fluids in pipes; flow through packed beds; compressible flow of gases; conduction, convection, and radiation; heat transfer resistances; and heat exchangers.

CHEM 5302: Chemical Reactors and Separation Processes

Course aims to equip students with the practical tools needed to apply reaction kinetics and thermodynamics in an industrial setting. Topics covered include: chemical reaction kinetics; homogeneous and catalytic reactions; batch, continuously-stirred, plug-flow, and fixed bed reactors; thermodynamics and mass transfer of separation processes; distillation; absorption and adsorption; membranes.

CHEM 5303: Analysis and Design of Chemical Processes

Course aims to equip students with the practical tools needed to analyze and design a chemical process for the production of commodity chemicals. Topics covered include: process flow diagrams; tracing chemicals through the process flow diagram; process conditions; engineering economic analysis of chemical processes; process control and optimization; process performance; process simulation.

CHEM 6301: Industrial Organic Chemicals

Course aims to equip students with the practical tools needed to analyze and design chemical processes for the production of commodity organic chemicals. Topics covered include: Natural gas, petroleum, and coal; distillation and refining of petroleum; chemicals from methane; chemicals and polymers from ethylene and propylene; chemicals and polymers from C4 and C5 streams; chemicals and polymers from BTX.

CHEM 6302: Industrial Inorganic Chemicals

Course aims to equip students with the practical tools needed to analyze and design chemical processes for the production of commodity inorganic chemicals. Topics covered include: Sources of inorganic raw materials; sulfuric acid and sulfates; ammonia and nitrogen compounds; phosphorous compounds; chlor-alkali compounds; titanium dioxide.

CHEM 6303: Waste Management

Course aims to equip students with the practical tools needed to effectively manage waste streams generated from chemical processes. Topics covered include: Air, water, and solid waste legislation and regulations; pollution prevention; green chemistry; air pollution management of stationary sources; industrial wastewater management; management of solid wastes.

CHEM 6304: Capstone Project/Internship

Under the supervision of an external advisor, students complete a capstone project involving a techno-economic analysis of a chemical process or an internship project with their current or other employer.

COMSC 1450: Introduction to Programming and Computer Science

Students will learn to analyze computational problems and develop solutions to them as algorithms. The algorithms will be implemented in Python, a modern programming language. Students will learn the fundamental principles of computer science, basic hardware and software components of a computer system, computational thinking, basic algorithms, and programming. Students will get hands-on experience in problem solving by designing, writing, testing and debugging Python programs.

COMSC 1451: Object Oriented Programming

Software is everywhere, including enterprise systems, mobile devices, avionics, sensors, and big data. This course focuses on Object Oriented Programming (Java) and its key concepts: object, classes, encapsulation, abstraction, polymorphism, and inheritance. In addition, topics such as generics, interfaces, threads and events/listeners complement the software development process.

COMSC 2351: Data Structures

Continuation of COMSC 1351: Introduction to abstract data types, records, linked lists, stacks, queues and trees and graphs; recursion; analysis of algorithms; additional sorting and searching techniques.

COMSC 3055: Computational Methods Research

This course will introduce students into different methods, techniques, and approaches for conducting computational research applied to different disciplines such as Biology, Health Sciences, Textual Analysis, Humanities, and more.

COMSC 3365: Organization of Computer Programming Languages

The organization of programming languages with emphasis on language semantics; language definition, data types, and control structures of various languages. Principles of object oriented and functional programming and the translation and execution of programs.

COMSC 3371: Introduction to Data Analytics

Data analytics is a process that turns data into usable information for answering questions. This course will introduce the process of acquiring, managing and analyzing data. Readily available real-world data sets will be analyzed using supervised and unsupervised learning methods.

COMSC 3372: Data Visualization

Appropriate visualizations of data are a key to revealing patterns and communicating important findings in research. This course will build on statistical and analytical thinking by emphasizing the role and use of visualizations in the analysis of data. Theories, techniques and software for managing, exploring, analyzing, displaying and communicating information about various types of data will be introduced. Visualizations will be produced using readily available real-world data sets.

COMSC 3375: Database Systems

Organization concepts and terminology of data models and the underlying data structures needed to support them. Thorough presentation of the relational database management system including an introduction to SQL programming, normalization and database design. Introduction to the programming interface to databases.

COMSC 3385: Computer Architecture

Introduction to digital logic, machine representation of data, assembly programming, processor design, memory organization, and interface communication.

COMSC 4191: Internship

Practicum of on–the–job experience under the guidance of a practicing specialist in the field. This course is designed to provide opportunities for students to enhance their practical skills through application of classroom concepts and theories to real life situations. To be supervised individually by a department faculty member with the approval of the department chair.

COMSC 4320: Operating Systems

A study of concurrency, process scheduling, memory management, security and device management. Topics in syste support for parellelism, virtualization and reliability.

COMSC 4330: Human and Social Factors

Topics include human interaction with computers, user interface design, professional ethics, sustainability, security policy, computer crime and law, and history of computing.

COMSC 4340: Computer Networks

An introduction to the design and analysis of computer communication networks. Topics included application layer protocols, Internet protocols, network interfaces, local and wide area networks, wireless networks, bridging and routing, and current topics. Prerequisites: COMSC 1351

COMSC 4345: Foundations of Data Science

Data science is an emerging discipline whose main goal is extracting information and knowledge from datasets and using it for decision-making, answering questions, or understanding phenomena. The fundamentals of Data Science will be studied from three perspectives; 1) as a collection of disciplines: exploring the interconnections between computing, mathematics, statistics, visualization, and other domains; 2) as a process: learning the life cycle in a data science project; and 3) understanding its computational foundation. This course also addresses the potential negative impact algorithms can have on people and society.

COMSC 4350: System Development Project

This course is intended as a capstone. Topics include software project management, software design, reliability, verification and validation. The course includes the team development of a software system.

COMSC 4391: Internship

Practicum of on–the–job experience under the guidance of a practicing specialist in the field. This course is designed to provide opportunities for students to enhance their practical skills through application of classroom concepts and theories to real life situations. To be supervised individually by a department faculty member with the approval of the department chair.

ENGR 1100: Intro to Engineering Lab

This course, in combination with the Introduction to Engineering course ENGR 1300, is a first year course dedicated to the preparation of students for the future engineering curriculum. The lab component focuses on application of the mathematical principles via computer software (MATLAB and Excel).

ENGR 1102: Physics and Engineering Scholars Seminar

The Physics and Engineering Scholars seminar will enhance relevant concepts, techniques and problem-solving strategies needed in introductory Physics 1331 and Physics 2333 courses. The focus is on application of those concepts, techniques, and strategies to covered lecture topics in both PHYS 1331 and PHYS 2333, such as motion in several dimensions, forces, energy, momentum, rotational motion, vibrations, and waves. This course is recommended for students who need to improve their quantitative reasoning and problem-solving skills to succeed in their introductory physics classes. Departmental Approval is needed to sign up for this course. This is a Pass/Fail course.

ENGR 1114: Fundamentals of Computer-Aided Design

This course provides the fundamentals of engineering graphics. It is a prerequisite for any upper level engineering design classes. It introduces students to solid modeling and engineering drawing basics using SolidWorks and will cover topics such as orthographic projections, pictorial drawings, dimensioning, sectioning, and tolerancing. An introduction to assembly drawings, threads and fasteners will also be part of this course.

ENGR 1300: Introduction to Engineering

This introductory course will expose students to the field of engineering and the mathematics required for engineering courses. The focus will be on the application of mathematics to solving real-world engineering problems without heavy emphasis on the derivation. Topics covered will include solving engineering problems through applications of basic algebraic manipulations, trigonometry, vectors, sinusoids and harmonic signals, matrices and systems of equations, basics of differentiation, basics of integration, and differential equations.

ENGR 2100: Introduction to Engineering Design

An introduction to the engineering design process. Students complete a semester long design project from the problem recognition and definition stage through the implementation and testing phase. The project will require individual and group work, and is designed to provide students with the fundamentals of completing each step of the engineering design process.

ENGR 2105: Machining Technology

Introduction to common tools used in the machining and manufacturing of mechanical components. This course will focus on teaching the proper use, capabilities, and limitations of available tools and involve a hands-on project to create a machine component from raw materials.

ENGR 2302: Material and Energy Balances

This course covers the principles of mass and energy conservation and their application in process analysis and design. It includes topics such as stoichiometry, conservation of mass and energy, reaction stoichiometry, thermodynamic properties, and the use of process simulators to model and analyze chemical processes. Through problem-solving exercises, case studies, and design projects, students will learn how to apply their knowledge to analyze and design chemical processes in various industries.

ENGR 2410: Digital Design

Analysis and design of practical digital systems including combinational logic circuitry and finite state machine circuitry. Topics covered include logic gates, number systems, Boolean algebra, and synchronous sequential circuits, flip flops, memory devices and programmable logic.

ENGR 3131: Advanced Electronics Laboratory

Taken with the Corequisite (ENGR 3331) Electronics 2, this course uses simulations and experiments to examine the operation and applications of electronic solid-state devices including diodes, operational amplifiers (Op Amps), and transistors (MOSFETs and BJTs) used in electronic devices.

ENGR 3133: Electrical Circuits Lab

Ohm’s and Kirchhoff’s laws, sensors and Op Amps, strain gauges, and passive filters. Application of computers and electric and electronic principles to mechanical systems.

ENGR 3138: Advanced Mechanical Lab I

Students study and perform a range of contemporary experiments using research equipment and techniques. Course covers a range of experimental methods including data collection, computational analysis, and presentation and communication of results. Experiments in this course focus on topics related to Solid Mechanics, Failure Dynamics, and Control Systems.

ENGR 3139: Units Operations Laboratory I

Unit operations encompasses several hands-on laboratory experiments to support the concepts covered in chemical engineering. Included operations can be related to material covered in thermodynamics, fluids, transport processes, and process control. This course allows students to gain valuable knowledge using small scale versions of industrial operations equipment for various tasks such as separation, filtration, heat exchange, distillation, and absorption among others. The course emphasizes how the equipment and techniques could then be scaled from a laboratory setting to true industrial applications.

ENGR 3140: Unit Operations Laboratory 2

Students will learn advanced techniques in experimental design, data analysis, and process optimization, as applied to various unit operations, such as distillation, absorption, extraction, and reactor design. Topics covered include process control, instrumentation, and safety considerations in the laboratory setting. The course aims to equip students with the knowledge and skills necessary to design and execute experiments, analyze data, and optimize chemical processes in a laboratory setting.

ENGR 3141: Advanced Mechanical Lab II

Students study and perform a range of contemporary experiments using research equipment and techniques. Course covers a range of experimental methods including data collection, computational analysis, and presentation and communication of results. Experiments in this track focus on topics related to Thermodynamics, Heat Transfer, and Fluids.

ENGR 3145: Electrochemical Energy Systems Laboratory

This course, in combination with the Electrochemical Energy Systems lecture course covers the basic fundamentals of electrochemical devices and material. The lab components will include some experiments applying the principles covered in the lecture course like building a fuel cell, working with super-capacitors, and solar cells.

ENGR 3305: Heat Transfer

Study of heat transfer by conduction, convection, and radiation. Topics include steady and transient conduction, forced and free convection, black body radiation, phase changes, and heat exchange systems.

ENGR 3306: Applications in Heat Transfer

As a follow up course to heat transfer, students are introduced to various applications related to the topic. Applications include design and selection of heat exchanges, refrigeration, heating and cooling of buildings, and cooling of electronic components among others.

ENGR 3310: Mechanical Elements

Application of mechanics principles to machine elements and their design and manufacturing. Topics include selection of mechanical components, material selection, stress and strain analysis, load and power transmission, and failure mechanisms.

ENGR 3330: Electronics I

This course examines the operation and applications of electronic solid-state devices including diodes, operational amplifiers (Op Amps), and transistors (MOSFETs and BJTs) used in electronic devices.

ENGR 3331: Electronics II

As a continuation of ENGR 3330 (Electronics 1), this course examines the operation and applications of electronic solid-state devices including diodes, operational amplifiers (Op Amps), and transistors (MOSFETs and BJTs) used in electronic devices. Simulations and experiments will be incorporated.

ENGR 3333: Electrical Circuits I

Electrical circuits laws and theorems focused on DC circuit analysis. Analysis of resistive, inductive, capacitive, and Operational Amplifier circuits using Kirchhoff Laws, Thevenin equivalent circuits, and other analytical techniques.

ENGR 3334: Microprocessors

This course examines the operation and applications of microprocessors used in digital computing. Topics cover computer hardware and software, programming, computation, interfacing, I/O processing, communication, and data analysis.

ENGR 3335: Thermodynamics

This course focuses on the concepts and applications of thermodynamics. The central objective of this course is to demonstrate the crucial role of thermodynamics in a modern industrialized society. The course concentrates on the following: conservation equations for mass, energy, and entropy in closed and open systems; applications of the first and second laws of thermodynamics to steady-state and transient problems; properties of fluids and equations of state; power generation and refrigeration cycles; chemical and phase equilibrium.

ENGR 3336: Robotics

This course provides an introduction to the interface between electronic and mechanical systems. Topics will cover the fundamentals of mechatronic control systems that allow for automation of tasks such as navigation and manipulation.

ENGR 3337: Multicomponent Thermodynamics

This course introduces students to the principles of multicomponent thermodynamics and their application in chemical engineering. Students will learn how to analyze and design chemical processes involving multiple components using thermodynamic models and principles. The course covers topics such as phase behavior, equilibrium calculations, thermodynamic properties, and the application of thermodynamics in the design of separation processes. Throughout the course, students will be expected to apply their knowledge to real-world problems through case studies and design projects

ENGR 3340: Signals and Systems

This course examines continuous-time signals and systems. It covers the basic continuous signals operations and different systems classifications. Topics include linear time-invariant systems, impulse response, convolution, Fourier analysis, and Filtering.

ENGR 3341: Statics

The concepts of force, moments, balance and friction are used in the application of vector algebra and calculus to the modeling and analysis of force systems, free-body diagrams, and the equilibrium states of rigid bodies.

ENGR 3342: Dynamics

The concepts of force, acceleration, work, energy, impulse, momentum and vibration are used in the application of vector and differential equations for the modeling and analysis of particle kinetics, planar and three-dimensional particle kinematics, and the behavior of rigid bodies.

ENGR 3343: Mathematical Methods for Physics and Engineering

A survey of mathematical methods used in advanced physics and engineering courses, including linear algebra and linear systems, vector analysis, complex variables, ordinary and partial differential equations, Fourier series, integral transforms, and special functions. Emphasis is on physical applications, using both analytical and computational solutions to problems.

ENGR 3344: Digital Signal Processing

Digital Systems Processing course examines Discrete-time signals and systems. It provides an introduction to time-domain and frequency-domain analysis for linear discrete systems. Topics include sampling, quantization, impulse response, convolution, Z-transform, Discrete Fourier Analysis, and introduction to digital Filters.

ENGR 3345: Electrochemical Energy Systems

This course studies the fundamentals of electrochemical energy storage and materials. It covers basic principles and mathematical models of electrochemistry, thermodynamics, kinetics, photoelectrochemistry devices, and energy storage. The main focus of this course is to give the students a solid understanding of the application of these principles in the emerging technologies like lithium-ion batteries, fuel-cells, super-capacitors and solar cells.

ENGR 3346: Electrical Circuits II

Second semester of Electrical circuits course sequence focused on AC circuit analysis. Course includes a treatment of AC circuits analysis, AC power analysis, transfer functions and filters, three-phase circuits, and Laplace transform and Fourier analysis techniques for complex waveforms.

ENGR 3347: Strength of Materials

This course is the study of stresses and insuring for a given geometry and loading case that stresses are maintained below an acceptable level. Stresses discussed include bending stress, shear stress, axial stress, and combined stressed to include Mohr's circle. Design of both beams and columns will be discussed. There is some mention of composite materials and stress concentrations.

ENGR 3348: Fluid Mechanics

This course provides a basis in conservation principles applied to fluid systems, fluid statistics, dimensional analysis, viscous flow, open channel flow, and an understanding of turbomachinery. One aspect of the course is the use of Excel to solve several nonlinear problems that arise in the study of fluids.

ENGR 3350: Fundamentals of Biomolecular Engineering

Fundamentals of biochemical processes and molecular biology. DNA replication, transcription, translation, recombination technologies, and genetic engineering; design of bioreactors, transport processes and separation of biological materials, and application of enzymes.

ENGR 3352: Transport Phenomena

Fundamental principles of heat, mass, and momentum transport relating to chemical engineering. The focus is on topics in conduction, convection, radiation, fluid flow through pipes, mixing flows, and diffusion.

ENGR 4120: Mechanical Engineering Design Capstone Laboratory

This course, in combination with the Engineering Design Capstone course ENGR 4320, is an upper-level capstone treatment of an engineering design project and is executed by a team of students. The project involves application of analytical, experimental and computational techniques to the chosen topic. Topics are chosen from various engineering disciplines according to student and faculty interest. This course is dedicated to the realization of the project.

ENGR 4140: Electrical Machines

This course introduces concepts related to the interplay of electrical and mechanical systems. Topics will include, construction, design and analysis of major types of rotating and linear electric machines such as transformers, induction motors, synchronous motors, alternators and DC motors and generators.

ENGR 4144: Electrical Engineering Capstone Laboratory

This course – in combination with the Electrical Engineering Capstone course ENGR 4344 -is an upper level capstone treatment of an engineering design project from idea over design to realization. The project involves application of analytical, experimental, and computational techniques to the chosen topic from the electrical engineering field according to student and faculty interest and is executed by a team of students. This course is dedicated to the realization of the project designed in the ENGR 4344 course.

ENGR 4156: Chemical Engineering Capstone Laboratory

Capstone design of chemical processes. Included design factors are: health and safety, reliability, sustainability, cost, profitability, efficiency, environmental issues, and optimization. This course is dedicated to the realization of the project designed in the ENGR 4356 course.

ENGR 4300: Chemical Reactors

This course provides an in-depth study of chemical reactors, which are key components in chemical processes that involve chemical reactions. Students will learn the principles of chemical reaction engineering, including reaction kinetics, thermodynamics, and reactor design. The course covers different types of reactors, such as batch, continuous stirred-tank, plug-flow, and packed-bed reactors, and their applications in various chemical processes. Students will also learn how to analyze and design chemical reactors based on reaction kinetics, mass and energy balances, and thermodynamic considerations. The course covers additional topics such as catalysts, reactor performance, and safety considerations in chemical reactors.

ENGR 4302: Chemical Reactors and Separation Processes

Chemical Reactors and Separation Processes aims to equip students with the practical tools needed to apply reaction kinetics and thermodynamics in an industrial setting. Topics covered include: chemical reaction kinetics; homogeneous and catalytic reactions; batch, continuously-stirred, plug-flow, and fixed-bed reactors; thermodynamics and mass transfer of separation processes; distillation; absorption and adsorption; membranes.

ENGR 4303: Analysis and Design of Chemical Processes

Chemical Analysis and Design of Chemical Processes aims to equip students with the practical tools needed to analyze and design a chemical process for the production of commodity chemicals. Topics covered include: process flow diagrams; tracing chemicals through the process flow diagram; process conditions; engineering economic analysis of chemical processes; process control and optimization; process performance; process simulation.

ENGR 4304: Plant Design

This course provides an introduction to the design of chemical plants, including the selection of processes, equipment, and materials, and the integration of these components into a coherent and efficient process. Students will learn the principles and techniques of process design, including process flow diagrams, equipment sizing, and cost estimation. The course covers topics such as safety, environmental considerations, and regulatory compliance in plant design, as well as the economic aspects of plant design, including capital and operating costs, profitability analysis, and risk management.

ENGR 4305: Dynamic Systems and Controls

Mathematical modeling, analysis, measurement, and control of dynamic systems. Topics include physical systems models, introduction to feedback control, time and frequency domain analysis of control systems, stability of linear control systems, PID control, and root-locus analysis. Incorporation of computational software for computer-based controls and modeling is included.

ENGR 4310: Computational Fluid Dynamics

Computational modeling and analysis of fluid flows using finite­-difference and finite-volume methods for solving fluid flow model partial differential equations. Additionally covers concepts of stability, consistency, convergence, and solution of large-scale systems of linear equations.

ENGR 4312: Engineering Communications

Practical experience and practice with various modes of engineering and technical communication. Focus will be on written technical documents. A case study in engineering ethics and techniques for oral technical presentations for various audiences will be included as well.

ENGR 4315: Computational Modeling of Materials

Computational modeling is used to analyze materials and systems at multiple scales. Multi-scale modeling begins with first-principle calculations at the quantum mechanics level, proceeds to the atomic level, and concludes with the continuum level. Modeling techniques discussed at each level include density functional theory, molecular dynamics, and finite element analysis.

ENGR 4318: Chemical Engineering Design

The course uses fundamental knowledge and skills acquired from previous courses including thermodynamics, fluid mechanics, heat, and transport courses to to design major equipment, tools and instrumentations used in chemical plants including pumps, heat exchangers, condensers, boilers, separation towers, pipelines and pipeline valves and fittings. Commercial process simulation software, ASPEN, will be used for the design and simulation of process equipment in processing plants. In addition to the equipment design, students will learn how to consider economic and safety factors in their equipment and process design. Major features of the process simulator are used for safety and economic considerations.

ENGR 4320: Mechanical Engineering Design Capstone

This course – in combination with the Engineering Design Laboratory course PHYS 4120 - is an upper level capstone treatment of an engineering design project (from idea over design to realization) and is executed by a team of students. The project involves application of analytical, experimental and computational techniques to the chosen topic. Topics are chosen from various engineering disciplines according to student and faculty interest. This course is dedicated to the idea and design part, the realization of the project will take place in PHYS 4120, the Engineering Design Laboratory.

ENGR 4325: Compressible Flow

Study of compressible flows and related phenomena. Topics include control volume solutions in one and two dimensions, normal and oblique shockwaves, isentropic flow, boundary layers and frictional flow, and nonadiabatic flow.

ENGR 4333: Electromagnetism

Theory and application of electric and magnetic fields and their interactions with matter. Topics include electro- and magnetostatics, dynamics, and Maxwell's Equations with applications to transmission, radiation, and wave propagation. This course incorporates vector analysis and boundary-value problems.

ENGR 4340: Wireless Communications

Wireless Communications covers the basic fundamentals of wireless cellular networks. The course provides an overview of wireless channel models including large-scale and small scale fading effects, multiplexing, signal encoding techniques, error detection and correction, OFDM, spread spectrum, and multiple-input-multiple-output transmission.

ENGR 4341: Electrical Power Systems

Electrical Power Systems introduces electrical power generation and transmission, and the sub-systems involved in this process. Electric power systems have become increasingly utilized to transmit and transform energy for industrial, military and transportation uses. Electric power systems also enable the inclusion of alternative energy sources, such as wind, solar electric, solar thermal, geothermal and small scale hydroelectric generation into large grids.

ENGR 4343: Computational Methods for Physics and Engineering

An introduction to using computers to study and model physical systems, particularly those problems which are difficult or impossible to solve analytically. The focus is on concrete problems arising in the Engineering industry and Physics fields, using programming languages (e.g. Python, Matlab, C++). Students are expected to design, implement, and verify their own code, as well as incorporate standard code libraries. Topics may include numerical integration, differential equations, linear systems, molecular dynamics, finite-element methods, working with large datasets, graphics and 3d visualization.

ENGR 4344: Electrical Engineering Capstone

This course – in combination with the Electrical Engineering Capstone Laboratory course ENGR 4144 -is an upper level capstone treatment of an engineering design project (from idea over design to realization) and is executed by a team of students. The project involves application of analytical, experimental, and computational techniques to the chosen topic. Topics are chosen from the electrical engineering field according to student and faculty interest. This course is dedicated to the idea and design part, the realization of the project will take place in ENGR 4144, the Electrical Engineering Capstone Laboratory.

ENGR 4354: Transport Processes

Continuation of ENGR 3352 -Transport Phenomena. Design and analysis of heat exchangers, fluid-flow systems, separation processes. Transport in single and multiphase systems.

ENGR 4356: Chemical Engineering Capstone

Capstone design of chemical processes. Included design factors are: health and safety, reliability, sustainability, cost, profitability, efficiency, environmental issues, and optimization. This course is dedicated to the idea and design part, the realization of the project will take place in ENGR 4156, the Chemical Engineering Capstone Laboratory.

ENGR 4360: Properties of Materials

While many courses focus on the importance of stress and strain in engineering analysis, material selection is just as critical for design. This course focuses on processing of materials to achieve variations in material properties, types of engineering materials, and basic testing of materials to determine the material properties.

ENGR 4364: Fundamentals of Nanotechnology

This course will cover fundamental concepts of nanotechnology. After introducing underlying theoretical concepts the relationship between structure, properties (mechanical, electrical, optical, chemical, magnetic), and performance of nanomaterials is investigated. Characterization, fabrication, and applications are discussed.

ENGR 4391: Internship in Physics and Engineering

Internship in Engineering offers students the opportunity to explore and develop their careers through professional practice. This course takes place in form of an 8-10 week, full time external internship or research experience for individual students in various branches of industry, government agencies, or laboratories. In order to register for the course the student must show proof to the department that they have successfully obtained an internship and register for the course for the semester in which the internship will be evaluated by UST faculty. Students have to be rising juniors or seniors to qualify for this course. In order to get course credit students have to submit detailed (week by week) documentation regarding their internship goals and achievements and fulfill further course requirements as determined by supervising faculty from the Department of Physics and Engineering.

HLTHP 3301: Professional Development & Skills I

This course is designed for students to analyze and improve upon their pre-professional competencies. These will be done in small groups by analyzing students professional CV. Keeping these soft skills in mind, students will also prepare their personal statements for medical school.

HLTHP 3302: Professional Development & Skills II

This course will continue from HPAC 3301 in developing the pre-professional competencies needed to be a successful, well-rounded applicant to medical school. Students will prepare for their application and develop a plan to apply early to the various application services. Students will also work on acquiring the skills to tackle the secondary applications as well as work in teams to actively practice MMI-style interview questions and work independently on how to answer typical medical school interview questions utilizing their pre-professional competencies. Finally, through a series of guest lectures from professionals at TMC, students will dive into medical ethics which will help them prepare for their applications and interviews.

MATH 1314: College Algebra

The study of functions, and their graphs, inequalities, and linear, quadratic, piece-wise defined, rational, polynomial, exponential, and logarithmic functions.

MATH 1324: Math for Business & Social Sciences

The application of common algebraic functions, including polynomial, exponential, logarithmic, and rational, to problems in business, economics, and the social sciences are addressed. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming; and probability, including expected value.

MATH 1325: The Nature of Mathematics

This course is an exploration of great ideas of mathematics. The course describes the nature of mathematics and provides insights into various strategies used by mathematicians in solving problems. The course emphasizes creative and effective thinking through an introductory examination of a wide variety of topics such as number theory, geometry, infinity, topology, chaos and fractals, and decision making. Prerequisite: Acceptance in the Mendenhall Summer Institute. Co-Requisite: ENGL 1311.

MATH 1331: Pre-Cal Algebra & Trigonometry

An integrated review course in pre–calculus algebra and trigonometry covering function concepts and symbols, rectangular coordinates, linear and quadratic functions, polynomial and rational functions, trigonometric functions, inequalities, systems of equations, complex numbers and analytic geometry.

MATH 1351: Finite Mathematics

Topics from contemporary mathematics, their development, applications and role in society. Some typical topics, to be chosen by the instructor, include graph theory, mathematical finance, critical path analysis, statistical inference, coding, game theory and symmetry. Applications are in the management, natural and social sciences.

MATH 1355: Fundamentals of Statistics

An introduction to statistical reasoning focused on data collection, descriptive statistics, exploratory data analysis and simple linear regression. Other topics will include basic probability, normal distributions and fundamentals of hypothesis testing. This course is open only to students in the AAS-GENB program.

MATH 1425: Success Through Enhancement of Mathematical Skills (STEMS)

Topics covered will include numerical evaluation of logarithms and the use of methods for working with them, the interpretation and manipulation of numbers in scientific notation; trigonometric functions; the quantitative interpretation and generation of graphs; the evaluation of ratios of numbers with integer exponents; the simplification of rational expressions, and the use of percentages; estimation methods without the use of calculators; dimensional analysis; trigonometric functions. The course emphasizes creative and effective problem solving techniques in a real world context and an enhancement of mathematical skills leading to greater achievement in STEM (Science, Engineering, Technology and Mathematics) courses. Prerequisite: Acceptance in the Mendenhall Summer Institute. Co-requisite: UNIV 1201.

MATH 1430: Pre-Calculus Algebra & Trigonometry

An integrated review course in pre–calculus algebra and trigonometry covering function concepts and symbols, rectangular coordinates, linear and quadratic functions, polynomial and rational functions, trigonometric functions, inequalities, systems of equations, complex numbers and analytic geometry.

MATH 1431: Calculus I

Limits, continuity, differentiation, integration and applications of both differentiation and integration.

MATH 1432: Calculus II

Transcendental functions, techniques of integration, applications of integration, parametric equations, polar coordinates, infinite sequences and series.

MATH 2330: Introduction to Statistics for Nursing Research

Provides students with the methods and logic to perform elementary statistical analysis used in clinical research including: descriptive meansures, probability, sampling, normal distribution, Student t and Chi squared distributions, estimation and hypothesis testing, analysis of variance, regression and correlation.

MATH 2370: Introductory Statistics for Nursing Research

Provides students with the methods and logic to perform elementary statistical analysis used in clinical research including: Descriptive measures, probability, sampling, normal distribution, Student t and Chi squared distributions, estimation and hypothesis testing, analysis of variance, regression and correlation.

MATH 2431: Calculus III

Vectors and the geometry of space, vector functions, partial derivatives, multiple integrals, Green’s Theorem, curl and divergence, Stokes’ Theorem, The Divergence Theorem.

MATH 2435: Introduction to Statistical and Quantitative Analysis

An introduction to quantitative and statistical analyses focusing on applications of algebraic and statistical methods. Topics to be covered include functions and graphs, break-even analysis, descriptive statistics, probability distributions, estimation, simple linear regression and basic hypothesis testing will be covered. This course may not be used as part of the mathematics courses required of mathematics majors.

MATH 2437: Contemporary Mathematics for Elementary Teachers

A modern approach to the mathematics commonly taught to young children. Theoretic bases for computation and measurement are established. The geometric properties of shapes and solids are explored both visually and through computations. The basics of theoretical and empirical probability are developed using models and manipulatives. Additional topics such as problem solving algorithms, elementary logic and statistics are introduced. Prerequisites: successful completion of a University core mathematics course. Does not satisfy the University core requirements in mathematics.

MATH 3315: Engineering Statistics and Probability

Fundamental concepts of probability and statistics with a focus on engineering applications. Topics include descriptive statistics, hypothesis testing, random variables, probability distributions and functions of random variables.

MATH 3332: Elementary Statistical Methods for Economics & Business

Basic concepts of statistics with emphasis on statistical inference. Sampling and experimentation, descriptive statistics, confidence intervals, probability, two–sample hypothesis tests for means and proportions, Chi–squared tests, linear and multiple regressions, analysis of variance. Not open to students with credit in MATH 2434 or 3430. This course may not be used as part of the upper–division mathematics courses required of mathematics majors.

MATH 3334: Linear Algebra I

Matrices, inverses, linear systems, determinants, eigenvalues, eigenvectors, vector spaces, linear transformations, inner product spaces, Fourier series and orthogonal bases.

MATH 3335: A First Course in Probability

An elementary introduction to the mathematical theory of probability for students of mathematics, engineering and the sciences (including the social sciences and management science). Topics include combinatorial analysis, axioms of probability, conditional probability and independence, and random variables. Prerequisite: MATH 1432.

MATH 3343: Differential Equations II

Continuation of Math 2343. Power series solutions of differential equations and Bessel functions, Fourier series and transforms, matrices, systems of differential equations, introduction to generalized functions. Recommended for students interested in applications of mathematics and engineering.

MATH 3346: History of Mathematics

Evolution of mathematics from earliest to modern times. Major tends in mathematical thought, the interplay of mathematical and technological innovations, and the contributions of great mathematicians. Appropriate for prospective and in–service teachers.

MATH 3360: Discrete Mathematics

Analysis topics chosen at the discretion of the instructor from logic, set theory, combinatorics, and graph theory. Methods of enumerative combinatorics: sum, product, and division rules, bijective and recursive techniques, inclusion and exclusion, generating functions, and the finite difference calculus. Advanced topics to be selected from the theory of partitions, Polya theory, designs, and codes, graphs and trees with applications including games of complete information. Combinatorial existence theorems, Ramsey’s theorem.

MATH 3371: Introduction to Data Analytics

Data analytics is a process that turns data into usable information for answering questions. This course will introduce the process of acquiring, managing and analyzing data. Readily available real-world data sets will be analyzed using supervised and unsupervised learning methods.

MATH 3372: Data Visualization

Appropriate visualizations of data are a key to revealing patterns and communicating important findings in research. This course will build on statistical and analytical thinking by emphasizing the role and use of visualizations in the analysis of data. Theories, techniques and software for managing, exploring, analyzing, displaying and communicating information about various types of data will be introduced. Visualizations will be produced using readily available real-world data sets.

MATH 3450: Biostatistics I

Basic concepts leading to advanced applications in biostatistics. Topics include study design, data collection, descriptive statistics, probability and probability distributions, confidence intervals, hypothesis testing, power of statistical tests, and simple regression with an emphasis on applications in the biomedical sciences and biomedical research. Data will be analyzed using statistical software packages. Students may be required to register for MATH 1050 for this course.

MATH 4331: Real Analysis I

Introduction to concepts and methods basic to real analysis. Topics such as the real number system, sequences, continuity, uniform continuity, differentiation, infinite series and integration.

MATH 4332: Real Analysis II

Continuation of Math 4331 covering such topics as uniform convergence and functions of several variables. Strongly recommended for students planning to enter graduate school or secondary teaching and those interested in applied mathematics.

MATH 4335: Topology

The basics of point–set topology. Open and closed sets, limit points, topological spaces, countability, compactness, connectedness, metrics and metric topologies.

MATH 4338: Abstract Algebra I

Fundamental algebraic systems including groups, rings and fields. The structure of a system as a set with its operations and relationships between systems.

MATH 4341: Linear Algebra II

Continuation of Math 2341. Linear transformations and similarity, eigenvalues and diagonalization, complex vector spaces, unitary and self–adjoing matrices, Spectral Theorem, Jordon canonical form. Selected topics in linear programming, convexity, numerical methods, and functional analysis.

MATH 4343: Introduction to Partial Differential Equations

Mathematical formulation of physical laws. Existence and uniqueness for Cauchy and Dirichlet problems; classification of equations; potential–theoretic methods; other topics at the discretion of the instructor. Recommended for students interested in applications of mathematics and engineering.

MATH 4344: Mathematical Modeling

This course provides an introduction to developing mathematics models from real world situations through discussion of a series of examples, and hands-on exercises and projects that make use of a range of continuous and discrete mathematical tools.

MATH 4350: Biostatistics II

Application and extension of Biostatistics I with a focus on advanced statistical concepts which recur in biomedical research literature; multiple regression, logistic regression and survival analysis. Other topics may include time series analysis and clinical trials. Practival experience with the widely used statistical research software package R. Emphasis on realistic data typically encountered in applications of biostatistics.

MATH 4370: Capstone Project

The student will work with faculty supervision and undertake a research project. The project will culminate in a tangible product such as a paper, a presentation or a research poster.

MSDS 5301X: Programming for Data Science

An introduction to programming and using Python, a modern programming language used in data science. Computational will be emphasized through solving problems by writing and testing and debugging programs.

MSDS 5302X: Statistics for Data Science

Fundamental statistical concepts used in data science, including types of data, the collection of data, summarizing data, estimation and an introduction to hypothesis testing.

MSDS 5311: Introduction to Analytics

Data analytics is a process that turns data into usable information for answering questions. This course will introduce the process of acquiring, managing and analyzing data. Readily available real-world data sets will be analyzed using supervised and unsupervised learning methods.

MSDS 5312: Data Visualization

Appropriate visualizations of data are a key to revealing patterns and communicating important findings in research. This course will build on statistical and analytical thinking by emphasizing the role and use of visualizations in the analysis of data. Theories, techniques and software for managing, exploring, analyzing, displaying and communicating information about various types of data will be introduced. Visualizations will be produced using readily available real-world data sets.

MSDS 5315: Databases and Data Management

Organization concepts and terminology of data models and the underlying data structures needed to support them. Presentation of the relational database management system including an introduction to SQL programming, normalization and database design. Introduction to the programming interface to databases.

MSDS 5321: Data Science Research Methods

Fundamentals of the research process including formulating questions to assess data needs, determining how to collect and manage the necessary data, and putting results in the correct context.

MSDS 5350: Statistical Models

The analysis of data using linear and non-linear regression models, including techniques for building models and diagnostics for assessing models.

MSDS 5361: Data and Social Issues

An examination of algorithmic bias, legal and privacy issues about data that arise in the phases of a data science project and how data is related to social issues. Case studies from various disciplines will be used to explore these issues.

MSDS 6311: Big Data Analytics

The tools and techniques of managing and analyzing big data will be covered. Students learn how to use cloud services and data mining techniques for analyzing big data.

MSDS 6331: Machine Learning

An overview of the key concepts of machine learning through practical examples and applications. Programming projects will be used for learning techniques, for interpreting results and understanding scaling up from thousands of records to millions/billions.

MSDS 6381: Practicum I

Hands-on experience as a part of a data science team covering all phases of a data science project, with a focus on the design and data collection phases.

MSDS 6382: Practicum II

A continuation of the hands-on experience, with a focus on the analytics phase. Teams will present their results to the stakeholders.

PHYS 1102: Physics and Engineering Scholars Seminar

The Physics and Engineering Scholars seminar will enhance relevant concepts, techniques and problem-solving strategies needed in introductory Physics 1331 and Physics 2333 courses. The focus is on application of those concepts, techniques,and strategies to covered lecture topics in both Physics 1331 and 2333, such as motion in several dimensions, forces, energy, momentum, rotational motion, vibrations, and waves. This course is recommended for students who need to improve their quantitative reasoning and problem-solving skills to succeed in their introductory physics classes. Departmental Approval is needed to sign up for this course. This is a Pass/Fail course.

PHYS 1111: General Physics I Laboratory

To accompany General Physics I. An introduction to research techniques, including set-up and calibration of equipment; collection of data; analysis of data, including propagation of uncertainties; reporting of results and the writing of scientific papers.

PHYS 1112: General Physics II Laboratory

To accompany General Physics II. An introduction to research techniques, including set-up and calibration of equipment; collection of data; analysis of data, including propagation of uncertainties; reporting of results and the writing of scientific papers.

PHYS 1113: Introduction to Physical Science Laboratory

This course is intended for non-science majors who want to learn about the physical laws governing the universe. It accompanies the lecture course PHYS 1313. Students learn how to design and carry out experiments pertaining to topics from the lecture course. This involves developing measurement-taking skills, recording and analyzing data, and drawing conclusions from observations. Emphasis is on group collaboration and inquiry-based learning.

PHYS 1141: Astronomy Laboratory

This course is an introduction to astronomy, primarily aimed at non-science majors. Students study the night sky, our solar system, stars, galaxies, black holes, the Big Bang and cosmology. The course also covers the development of astronomy as a science, from Earth's earliest civilizations through scientists such as Galileo, Newton, and Einstein. The emphasis throughout is on conceptual understanding of how we came to know what we know about the Universe. The accompanying laboratory will provide practical activities to reinforce the concepts introduced in class. In addition, the lab will provide an opportunity for enlightened star-gazing as students learn how to use telescopes to locate and identify various objects in the night sky.

PHYS 1313: Introduction to Physical Science

This course is intended for non-science majors who want to learn about the physical laws governing the universe. Course topics include mechanics (how and why objects move), understanding the role of static and moving charges in electricity and magnetism, studying the properties of light, and taking a closer look at periodic properties of matter and structure of elements from the periodic table. Demonstrations and practical applications are emphasized.

PHYS 1331: General Physics I

Non–calculus introduction to kinematics, mechanics, thermodynamics, optics, electromagnetism and atomic physics.

PHYS 1341: Introduction to Astronomy

This course is an introduction to astronomy, primarily aimed at non-science majors. Students study the night sky, our solar system, stars, galaxies, black holes, the Big Bang and cosmology. The course also covers the development of astronomy as a science, from Earth's earliest civilizations through scientists such as Galileo, Newton, and Einstein. The emphasis throughout is on conceptual understanding of how we came to know what we know about the Universe. The accompanying laboratory will provide practical activities to reinforce the concepts introduced in class. In addition, the lab will provide an opportunity for enlightened star-gazing as students learn how to use telescopes to locate and identify various objects in the night sky.

PHYS 2111: University Physics I Laboratory

Calculus–based university physics laboratory to accompany university Physics I. Measurement statistics, uncertainties, and least square methods for experiments, reporting of results and the writing of scientific papers in mechanics.

PHYS 2112: University Physics II Lab

Calculus–based university physics laboratory to accompany university Physics I. Measurement statistics, uncertainties, and least square methods for experiments, reporting of results and the writing of scientific papers in sound, heat, electricity and optics.

PHYS 2333: University Physics I

Calculus–based course in physics. Particle kinematics and dynamics, conservation of energy and momentum, rotational motion, waves, fluid mechanics, and thermal physics.

PHYS 2334: University Physics II

Calculus– based course in physics. Electricity, magnetism, Maxwell’s equations, electromagnetic waves, optics, and introduction to modern physics.

PHYS 3133: Electrical Circuits Lab

Ohm’s and Kirchhoff’s laws, sensors and Op Amps, strain gauges, and passive filters. Application of computers and electric and electronic principles to mechanical systems.

PHYS 3137: Modern Physics Laboratory

To accompany Modern Physics lecture (PHYS 3337). An introduction into both experimental and computational laboratories concerning topics in the field of Modern Physics (i.e. particles and waves, quantum mechanics, relativity theory, molecules and solids). Students will be required to read and understand complex instructions, set up and calibrate equipment, collect and analyze data, discuss results and write laboratory reports.

PHYS 3138: Advanced Laboratory

Students study and perform a range of contemporary experiments using research equipment and techniques. Course covers a range of experimental methods including data collection, computational analysis, and presentation and communication of results.

PHYS 3139: Optics Laboratory

Examination of principles in Optics including ray optics, wave optics, passive optical components, polarization, optical modulators, interferometers, and lasers with elementary engineering and physics applications. Students will model, design, and analyze optical systems.

PHYS 3333: Electrical Circuits I

Electrical circuits laws and theorems focused on DC circuit analysis. Analysis of resistive, inductive, capacitive, and Operational Amplifier circuits using Kirchhoff Laws, Thevenin equivalent circuits, and other analytical techniques.

PHYS 3335: Thermodynamics

This course focuses on the concepts and applications of thermodynamics. The central objective of this course is to demonstrate the crucial role of thermodynamics in a modern industrialized society. The course concentrates on the following: conservation equations for mass, energy, and entropy in closed and open systems; applications of the first and second laws of thermodynamics to steady-state and transient problems; properties of fluids and equations of state; power generation and refrigeration cycles; chemical and phase equilibrium.

PHYS 3337: Modern Physics

A quantitative survey of the 20th century revolution of special relativity and quantum mechanics. Applications will be included from the fields of atomic and molecular structure, statistical mechanics, solid state, material science, biophysics, and bioengineering, nuclear physics, elementary particles, astrophysics and cosmology.

PHYS 3338: Classical Mechanics

A theoretical study of classical motion beginning with Newtonian mechanics, and progressing to the Lagrangian and Hamiltonian formulations of dynamics. Conservation laws, systems of particles, oscillations, gravitation, central forces, non-inertial frames, rigid bodies, non-linear systems and chaos.

PHYS 3339: Optics

Examination of principles in optics including ray optics, wave optics, passive optical components, polarization, optical modulators, interferometers, and lasers with elementary engineering and physics applications.

PHYS 3340: Astrophysics

An introduction to Astrophysics and Cosmology. The lecture work will be supplemented by several observational labs. Students study the principles and mathematical/computational models of contemporary Astrophysics and Cosmology, as informed by not only classical physics, but also General Relativity and Quantum Mechanics. Topics include basic understanding of observational astronomy including operation of a telescope, structure and evolution of stars and galaxies, nucleosynthesis, and cosmology.

PHYS 3343: Mathematical Methods for Physics and Engineering

A survey of mathematical methods used in advanced physics and engineering courses, including linear algebra and linear systems, vector analysis, complex variables, ordinary and partial differential equations, Fourier series, integral transforms, and special functions. Emphasis is on physical applications, using both analytical and computational solutions to problems.

PHYS 3346: Electrical Circuits II

Second semester of Electrical circuits course sequence focused on AC circuit analysis. Course includes a treatment of AC circuits analysis, AC power analysis, transfer functions and filters, three-phase circuits, and Laplace transform and Fourier analysis techniques for complex waveforms.

PHYS 4333: Electromagnetism

Theory and application of electric and magnetic fields and their interactions with matter. Topics include electro- and magnetostatics, dynamics, and Maxwell's Equations with applications to transmission, radiation, and wave propagation. This course incorporates vector analysis and boundary-value problems.

PHYS 4334: Quantum Mechanics

An advanced contemporary undergraduate treatment of the foundation and fundamental principles of Quantum Theory. Topics include the uncertainty principle, the wave nature of matter, Schroedinger's wave equation in one and three dimensions, the quantum nature of energy and angular momentum, and the harmonic oscillator. Mathematical concepts are treated that arise in quantum mechanics, including operators, eigenvectors and eigenvalues, Hilbert space, Dirac notation and boundary value problems.

PHYS 4343: Computational Methods for Physics and Engineering

An introduction to using computers to study and model physical systems, particularly those problems which are difficult or impossible to solve analytically. The focus is on concrete problems arising in the Engineering industry and Physics fields, using programming languages (e.g. Python, Matlab, C++). Students are expected to design, implement, and verify their own code, as well as incorporate standard code libraries. Topics may include numerical integration, differential equations, linear systems, molecular dynamics, finite-element methods, working with large datasets, graphics and 3d visualization.

PHYS 4364: Fundamentals of Nanotechnology

This course will cover fundamental concepts of nanotechnology. After introducing underlying theoretical concepts the relationship between structure, properties (mechanical, electrical, optical, chemical, magnetic), and performance of nanomaterials is investigated. Characterization, fabrication, and applications are discussed.