Computational Biology—BS Curriculum

Introduction to fields and career opportunities in the biological sciences.

• Credits: 1.0
• Lec-Rec-Lab: (0-1-0)
• Semesters Offered: Fall
• Restrictions: Must be enrolled in one of the following Major(s): Biochem & Molec Biology-Bio Sc, Ecology & Evolutionary Biology, Human Biology, Biological Sciences, Computational Biology; Must be enrolled in one of the following Class(es): Freshman, Sophomore

A discussion of the principles of ecology and organismal biology, using the theme of physiological ecology and adaptations. This course will emphasize biodiversity, scientific method, experimental design, and written and oral presentation of results.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Summer

Covers principles of ecology and organismal biology, using the theme of physiological ecology and adaptations. This course will emphasize biodiversity, scientific method, experimental design, and written and oral presentation of results.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Summer
• Co-Requisite(s): BL 1100

Discussion of the major principles by which life is organized. Topics include scientific methods, biological chemistry, cell structure and organization, multicellular organization, diversity of organisms, energetics and photosynthesis, cellular reproduction genetics, gene structure and expression, and recombinant DNA.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring, Summer

Topics include scientific methods, biological chemistry, cell structure and organization, multicellular organization, diversity of organisms, energetics and photosynthesis, cellular reproduction genetics, gene structure and expression, and recombinant DNA.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Spring, Summer
• Co-Requisite(s): BL 1200

A study of classical and molecular genetics. Topics include one- and two-locus genetics, recombination, gene structure, regulation and function, quantitative and population genetics, and genetic engineering. Covers both prokaryotes and eukaryotes.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring
• Pre-Requisite(s): BL 1020 or BL 1040 or BE 2400 or (BL 1200 and BL 1210) or (BL 1400 and BL 1410)

Emphasis on genetic and molecular biology laboratory techniques, including Mendelian analysis, and molecular cloning, Includes Course-based Undergraduate Research Experiences (CUREs) that cover the basis of scientific research in the life sciences.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Spring
• Pre-Requisite(s): BL 2200(C)

This course discusses how biology, math, and computer science combine to form the basis of computational biology. Students will be exposed to the applications of bioinformatics in analysis of DNA and protein sequences and be introduced to common methods for processing this data.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall
• Pre-Requisite(s): BL 1020 or BL 1040 or (BL 1200 and BL 1210) or (BL 1400 and BL 1410)

A comprehensive investigation of biomolecules including proteins, nucleic acids, and enzymes to understand their roles in structural, metabolic, developmental pathways. This course emphasizes biochemistry as it relates to human development, physiology, and disease.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Summer
• Restrictions: May not be enrolled in one of the following Major(s): Biochem & Molec Biology-Bio Sc
• Pre-Requisite(s): (BL 1200 or BL 1400 or BE 2400) and (CH 2410 or CH 2430)

Introduction to Genomics. Genome organization, mapping and characterization from humans and related organisms. Topics include hierarchical arrangement of genes, genome mapping, molecular markers of physical genome maps, genome sequencing, comparative genomics, analysis of important human genes and their products, and ethical and legal aspects of genomics.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall
• Restrictions: May not be enrolled in one of the following Class(es): Freshman
• Pre-Requisite(s): BL 2200 or FW 3320

Students will develop and improve their skill level in searching for scientific literature, incorporating that into scientific writing, evaluating and incorporating the work of others, and develop critique skills for review of scientific source material and basic statistical methods.

• Credits: 2.0
• Lec-Rec-Lab: (0-2-0)
• Semesters Offered: Fall, Spring
• Restrictions: Must be enrolled in one of the following Major(s): Biochem & Molec Biology-Bio Sc, Ecology & Evolutionary Biology, Human Biology, Biological Sciences, Computational Biology; May not be enrolled in one of the following Class(es): Freshman

Molecular biology of gene structure, expression and regulation. Also topics covering various molecular techniques and applications of these techniques and biotechnology.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): BL 3020 or CH 4710 or BL 3025

This course is an overview of techniques involved in genomics including hands-on experience in next-generation sequencing (NGS) platforms, and NGS sequence analysis including de novo assembly, gene annotation, and analysis including comparative genomics, pathway mapping, and core and pan genome analysis.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, in odd years
• Pre-Requisite(s): BL 2200

This course is designed as a hands-on experience in eukaryotic genomic experiments involving next generation sequencing (NGS) techniques, including eukaryotic gene annotation, comparative genomics, and gene regulation analyses.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, in even years
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): BL 2200 and BL 2210

Laboratory techniques in molecular biology, including methods of recombinant DNA technology for identification, cloning, and characterization of genes.

• Credits: 3.0
• Lec-Rec-Lab: (1-0-3)
• Semesters Offered: Fall
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): BL 2200 and BL 4030(C)

Introduces the foundations of chemistry, including electronic structure of atoms and molecules, intermolecular forces, states of matter, chemical reactions, organic chemistry, chemical equilibria, kinetics, and acid-base chemistry. Includes laboratory component that emphasizes lecture components.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Spring, Summer
• Co-Requisite(s): CH 1151
• Pre-Requisite(s): MA 1031(C) or MA 1032(C) or MA 1120(C) or MA 1160(C) or MA 1161(C) or MA 1135(C) or MA 1121(C) or ALEKS Math Placement >= 61 or CEEB Calculus AB >= 2 or CEEB Calculus BC >= 2 or CEEB Calculus AB Subscore >= 2 or ACT Mathematics >= 22 or SAT MATH SECTION SCORE-M16 >= 540

Laboratory to accompany CH1150.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Co-Requisite(s): CH 1150
• Pre-Requisite(s): MA 1031(C) or MA 1032(C) or MA 1120(C) or MA 1160(C) or MA 1161(C) or MA 1135(C) or MA 1121(C) or ALEKS Math Placement >= 61 or CEEB Calculus AB >= 2 or CEEB Calculus BC >= 2 or CEEB Calculus AB Subscore >= 2 or ACT Mathematics >= 22 or SAT MATH SECTION SCORE-M16 >= 540

A continuation of CH 1150. Introduces more complex concepts in chemistry, including kinetics, chemical equilibria, acid-base equilibria, thermodynamics, electrochemistry, and chemical analysis. Additional topics may include chemistry of the metals and non-metals, biochemical systems, and nuclear chemistry. Includes laboratory component that emphasizes lecture concepts.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Spring, Summer
• Co-Requisite(s): CH 1161
• Pre-Requisite(s): CH 1112 or (CH 1150 and CH 1151)

Laboratory to accompany CH1160.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Co-Requisite(s): CH 1160
• Pre-Requisite(s): CH 1112 or (CH 1150 and CH 1151)

A study of the chemistry of carbon compounds. Review of hybrid orbitals, covalent bonding, and resonance. Introduction to nomenclature, stereochemistry, mass spectrometry and infrared spectroscopy, functional group chemistry based on reaction mechanisms, and multi-step synthesis.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): CH 1122 or (CH 1160 and CH 1161)

Starting point of the computer science programs. A high-level, object-oriented programming language is introduced as a problem-solving tool. Topics include design, coding, documentation, debugging, and testing of programs. Programming assignments are given in both a closed lab setting and as homework.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 1031(C) or MA 1032(C) or MA 1120(C)

Continuation of CS 1121. Topics include data abstraction, class hierarchies and polymorphism, list, stack, queue and tree data structures, complexity-based algorithm and data structure choices, and recursion. Homework programming assignments are given.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): CS 1121

Presents fundamental concepts in discrete structures that are used in computer science. Topics include sets, trees, graphs, functions, relations, recurrences, proof techniques, logic, combinatorics, and probability.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 1121 or CS 1131) and (MA 1135 or MA 1160 or MA 1161 or MA 1121 or MA 2160 or MA 3160)

Presents fundamental concepts in data structures. Topics include abstract data types (priority queues, dictionaries and graphs) and their implementations, algorithm analysis, sorting, text processing, and object-oriented design. A significant programming project is assigned.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 1122 or CS 1131

This course provides an introduction to database systems including database design, query, and programming. Topics include goals of database management; data definition; data models; data normalization; data retrieval and manipulation with relational algebra and SQL; data security and integrity; database and Web programming; and languages for representing semi-structured data.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

Fundamental topics in algorithm design, analysis, and implementation. Analysis fundamentals include asymptotic notation, analysis of control structures, solving recurrences, and amortized analysis. Design and implementation topics include sorting, searching, and graph algorithms. Design paradigms include greedy algorithms, divide-and-conquer algorithms, and dynamic programming.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

An introduction to single-variable calculus, which includes a computer laboratory. Topics include trigonometric, exponential, and logarithmic functions, differentiation and its uses, and basic integration. Integrates symbolic tools, graphical concepts, data and numerical calculations.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-1)
• Semesters Offered: Fall
• Pre-Requisite(s): ALEKS Math Placement >= 86 or CEEB Calculus AB >= 3 or CEEB Calculus BC >= 3 or CEEB Calculus AB Subscore >= 3 or ACT Mathematics >= 29 or SAT MATH SECTION SCORE-M16 >= 680

An introduction to single-variable calculus, which includes a computer laboratory. Topics include trigonometric, exponential, logarithmic functions, differentiation and its uses, and basic integration. Integrates symbolic tools, data and numerics, and graphical concepts and is similar to MA1160, going at a different pace.

• Credits: 5.0
• Lec-Rec-Lab: (0-4-1)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 1032 or MA 1031 or MA 1120 or ALEKS Math Placement >= 76 or CEEB Calculus AB >= 2 or CEEB Calculus BC >= 2 or CEEB Calculus AB Subscore >= 2 or ACT Mathematics >= 26 or SAT MATH SECTION SCORE-M16 >= 610

Continued study of calculus, which includes a computer laboratory. Topics include integration and its uses, function approximation, vectors, and elementary modeling with differential equations.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-1)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 1160 or MA 1161 or MA 1135 or MA 1121 or CEEB Calculus AB >= 3 or CEEB Calculus BC >= 3 or CEEB Calculus AB Subscore >= 3

An introduction to linear algebra and how it can be used, including basic mathematical proofs. Topics include systems of equations, vectors, matrices, orthogonality, subspaces, and the eigenvalue problem.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): MA 1160 or MA 1161 or MA 1135 or MA 1121

Introduction to the design and analysis of statistical studies in the health and life sciences. Topics include study design, descriptive and graphical methods, probability, inference on means, categorical data analysis, and linear regression.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): MA 1135 or MA 1160 or MA 1161 or MA 1121 or MA 2160(C) or MA 3160(C)

Project-based course enabling students to identify statistical methods and analysis using R. Topics include exploratory data analysis, classical statistical tests, sample size and power considerations, correlation, regression, and design experiments using advanced programming techniques.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715

This course is an overview of techniques involved in genomics including hands-on experience in next-generation sequencing (NGS) platforms, and NGS sequence analysis including de novo assembly, gene annotation, and analysis including comparative genomics, pathway mapping, and core and pan genome analysis.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, in odd years
• Pre-Requisite(s): BL 2200

This course is designed for students majoring in molecular biology, computer science, data science and related majors to develop fundamental but essential skills for manipulating, preprocessing, and analyzing high throughput gene expression data for pattern extraction and knowledge discovery.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-3)
• Semesters Offered: Fall, in even years
• Restrictions: May not be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): FW 4099 or CS 1121 or CS 1122 or CS 1131 or CS 1141 or CS 2321

Students will learn computer programming skills in Perl for processing genomic sequences and gene expression data and become familiar with various bioinformatics resources.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, in odd years
• Pre-Requisite(s): CS 1121

Introduction to the general principles and techniques involved in the study of microorganisms, including bacteria, fungi, and viruses. Topics include cell structure and function, growth, metabolism, biodiversity, and interaction. Not open to students with credit in BL3310.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-3)
• Semesters Offered: Fall, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman
• Pre-Requisite(s): BL 1020 or BL 1040 or (BL 1200 and BL 1210) or (BL 1400 and BL 1410)

General principles of microbiology, focusing on both the use and control of microorganisms. Topics include microbial structure, function, growth, metabolism, and diversity, as well as microbial involvement in water and waste treatment, waterborne diseases, and pollution control. Not open to students with credit in BL3210.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-3)
• Semesters Offered: Spring
• Restrictions: May not be enrolled in one of the following Class(es): Freshman
• Pre-Requisite(s): BL 1200 or BL 1400 or BL 1020 or BL 1040 or BL 3080

Laboratory techniques basic to biochemistry and molecular biology with emphasis on protein isolation, characterization and kinetics.

• Credits: 2.0
• Lec-Rec-Lab: (0-1-3)
• Semesters Offered: Spring
• Pre-Requisite(s): BL 3020(C) or CH 4710(C) or BL 3025(C)

Dynamic aspects of living systems. Broad exposure to cellular metabolic pathways, intermediary metabolism and its regulation and bioenergetics.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring, Summer
• Pre-Requisite(s): BL 3020

Celebration of the commonalities of life as exhibited in the basic building block of organisms - the cell. Course topics include details of basic genetic mechanisms, cell structure and function, and an examination of cells in their social context.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): BL 2200 and CH 2420

Programming in assembly language and C for students with prior experience in Java. Topics include binary number encodings, instruction set architecture, assembly language programming, and instruction encodings. C programming topics include program structure, preprocessor, arrays, structures, pointers, input/output, dynamic memory management, and linked data structures.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): CS 1122 or CS 1131

This course focuses on software development as a team. It covers software design models emphasizing process activities including Agile methodologies and Secure Software Development Life Cycle practices. Key topics include version control, automated testing, and documentation. Students will develop skills in communication, teamwork.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

Introduction to the theory of formal languages and computation. Topics include regular languages and finite automata, context-free languages and push-down automata, Turing-acceptable languages, Turing machines and the halting problem. Proof techniques and applications, such as parsing, are also treated.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 2311 or MA 3210

Concepts and techniques in concurrent computing. Topics include: processes and threads, mutual exclusion, semaphores, monitors and condition synchronization, deadlock, safety and liveness, message passing, and concurrent architectures.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 2311 and CS 2321 and CS 3411

Fundamental ideas and techniques that are used in the construction of problem solvers that use Artificial Intelligence technology. Topics include knowledge representation and reasoning, problem solving, heuristics, search heuristics, inference mechanisms, and machine learning.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): CS 2311 and CS 2321 and MA 3720

Data mining focuses on extracting knowledge from large data sources. The course covers data mining concepts and methodology.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Restrictions: May not be enrolled in one of the following Level(s): Graduate
• Pre-Requisite(s): DATA 2201 and (MA 2710 or MA 2720 or MA 3710)

Course topics include current topics in artificial intelligence including agent-based systems, learning, planning, use of uncertainty in problem solving, reasoning, and belief systems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): CS 4811

This course covers the four main paradigms of Computational Intelligence, viz., fuzzy systems, artificial neural networks, evolutionary computing, and swarm intelligence, and their integration to develop hybrid systems. Applications of Computational Intelligence include classification, regression, clustering, controls, robotics, etc.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: On Demand
• Restrictions: Permission of instructor required; Must be enrolled in one of the following Level(s): Graduate

This course will explore the foundational techniques of machine learning. Topics are pulled from the areas of unsupervised and supervised learning. Specific methods covered include naive Bayes, decision trees, support vector machine (SVMs), ensemble, and clustering methods.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring
• Restrictions: Permission of instructor required; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
• Pre-Requisite(s): CS 4801

Introduction to calculus in two and three dimensions, which includes a computer laboratory. Topics include functions of several variables, partial derivatives, the gradient, multiple integrals; introduction to vector-valued functions and vector calculus, divergence, curl, and the integration theorems of Green, Stokes, and Gauss.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-1)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 2160 or CEEB Calculus BC >= 3

Introduction to probabilistic methods. Topics include probability laws, counting rules, discrete and continuous random variables, expectation, joint distributions, and limit theorems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): MA 2160

Covers simple, multiple, and polynomial regression; estimation, testing, and prediction; weighted least squares, matrix approach, dummy variables, multicollinearity, model diagnostics and variable selection. A statistical computing package is an integral part of the course. Some prior experience with R is expected.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715 or MA 5701

Covers construction and analysis of completely randomized, randomized block, incomplete block, Latin squares, factorial, fractional factorial, nested and split-plot designs. Also examines fixed, random and mixed effects models and multiple comparisons and contrasts. The R programming language is an integral part of the course.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): MA 2710 or MA 2720 or MA 3710 or MA 3715 or MA 5701

Covers joint probability distributions, functions of random variables, sampling and limiting distributions, introduction to parameter estimation.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): (MA 3720 or EE 3180) and MA 3160

Continuation of MA4760. Theory of point and interval estimation; properties of estimators, theory of hypothesis testing, analysis of variance, analysis of categorical data and other topics as time allows

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): MA 4760

Statistical modeling and inference for analyzing experimental data that have been observed at different points in time. Topics include models for stationary and nonstationary time series, model specification, parametric estimation, and time regression models. Some prior experience with R is expected.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): (MA 2710 or MA 2720 or MA 3710 or MA 3715) and (MA 3720 or EE 3180)

Application, construction, and evaluation of statistical models used for prediction and classification. Topics include data visualization and exploratory methods, the normal theory regression model, logistic and Poisson regression, linear and quadratic discriminant analysis, and classification with logit models. Some prior experience with R is expected.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): MA 3740 or MA 4710 or MA 4720 or MA 4780

A calculus-based introduction to classical mechanics. Topics include kinematics, Newton's laws, impulse and momentum, work and energy, and the universal law of gravitation. C or better/AP credit in Calc 1 or co-requisite registration in PH2110 required.

• Credits: 3.0
• Lec-Rec-Lab: (2-1-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): PH 1100(C) and (MA 1160 or MA 1161 or MA 1121 or MA 1135 or MA 2160(C) or MA 3160(C))

Assessment of experiential learning and preparation for post-graduate work, professional training, or graduate school.

• Credits: 1.0
• Lec-Rec-Lab: (0-1-0)
• Semesters Offered: Fall, Spring
• Restrictions: Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): BL 3782

Students conduct empirical, theoretical, or computational research under the direction of a faculty member. The work culminates in a written report, product, or presentation resulting from work performed. Specifics to be agreed upon between faculty mentor and student.

• Credits: variable to 9.0; Repeatable to a Max of 9
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Permission of instructor required