The main focus of this course is the close reading of published papers illustrating the principles, achievements, and difficulties that lie at the interface of theory and experiment in biology. Introductory biochemistry course that in one semester covers the major principles of biochemistry; proteins, nucleic acids, carbohydrates, lipids, and metabolism. Bayesian methods have enjoyed a growing popularity in science and technology and have become the methods of analysis in many areas of public health and biomedical research including genetics and genomics, disease surveillance, disease mapping. Topics covered include cell biology of the neuron, development of the nervous system, synaptic plasticity, learning and behavior, and network modeling. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. For Students: If you are a currently enrolled or admitted student and you have a Linkblue Account, search for classes using the myUK portal. Topics include: introductions to metabolic and genetic networks, deterministic and stochastic kinetics of biochemical pathways; genome-scale models of metabolic reaction fluxes; models of regulatory networks; modular architecture of biological networks. Description: his paper- and problem-based course focuses on functional genomics topics such as genetic variation, genome organization, and mechanisms of transcriptional and post-transcriptional gene regulation. The end result will be a set of predictions, some of which can be validated retrospectively using data available through online sources and some of which will require experimental validation. Basic probability, conditional probability, independence. Prereq: (CASMA124) or equivalent Basic concepts and techniques of stochastic process as they are most often used to construct models for a variety of problems of practical interest. Although every effort has been made to assure the accuracy of the information, students and others should note that laws, rules, policies, programs, and courses change from time to time and that these changes may alter the information contained in the 2020-2021 Catalog. CONTACT MBA CENTER mbacenter@bu.edu 617.353.7800 MASTER'S & PhD CENTER qstmsphd@bu.edu Call or Text: 617.353.2673. See our curated lists below. Course outlines for all courses described in this catalog ⦠Instructor: Labadorf; Credits: 4; LEC/LAB: Wed/Fri 2:30 pm – 4:15 pm. The first part is an abbreviation denoting the general field of study. CAS BI 504-A1: Advanced Evolutionary Analysis Academic Catalog 2020-2021 Academic Catalog 2020-2021: Mission of the University System. Open-ended problems will involve bioinformatics as a key element, typically requiring the use of large data sets and computational analysis to make predictions about molecular function, molecular interactions, regulation, etc. The analysis tools used in pattern identification representation and functional association are introduced and used to discuss the patterns characteristic of DNA and protein structure and biochemical function. Formal systems. Emphasis on developing a firm conceptual understanding of the statistical paradigm through data analyses. Polynomial theory. K-State 8 course list. 2600 S. 1st ⦠Statistical tools such as genetic association analysis are used to help unravel the genetic component of complex disease. The fourth digit is 4 if the course is a one-term terminal course, 5 if the course is the first term in a sequence, and 6 if the second term in a sequence. This course will emphasize data manipulation and basic statistical analysis including exploratory data analysis, classical statistical tests, categorical data analysis, and regression. Students must bring laptop to each class. Emphasis on how knowledge was derived and the theoretical principles governing biochemistry. This course will teach students to apply or develop new computational network, AI and machine learning concepts to probe into the systems biology of disease and personalized medicine. PhD students must complete one 9-week rotation in their first semester of matriculation and two in their second semester. The primary focus will be using existing software tools and published data to perform analyses, but most tasks will require some programming. Prereq: SPH PH 717 or SPH BS 704 or SPH BS 700 or SPH BS 800 or consent of instructor. Post-introductory course in linear models, with focus on both principles and practice. The Spring 2021 Schedule of Classes is now available. Methods of transformations, law of large numbers, central limit theorem. Students who enroll must expect and be able to attend classes in-person at St. Maryâs Church in Dedham, MA, during certain weeks in the semester. EN-3765-01 Topics in Writing (20055.202120) PBH-4400-01 Internship/Field Experience (20049.202120) M-CJ-2405-OL White Collar Crime (20038.202120) M-CJ-2080-OL Crime and Criminals (20026.202120) CC-3881-01 Sports Management Practicum (20048.202120) LIDI-2955-OL ⦠Description: Three laboratory rotations are required during a Bioinformatics Ph.D. student’s first year. Classification of states, limiting probabilities, Poisson process and its generalization, continuous-time Markov chains, queuing theory, reliability theory. Instructors: Segre; Credits: 4; Mon/Wed 10:10 am – 11:55 am. Regulation and control of the synthesis of RNA and proteins. Closed course list. Course Catalog. Competent biostatisticians nowadays are expected to have knowledge in Bayesian modeling and Markov Chain Monte Carlo methods to be effective collaborators in interdisciplinary research groups. Prereq: one year of statistics. If you would like to see all courses ⦠Emphasis on the algorithmic aspects as well as the application of mining in real-world problems. Emphasizes hands-on application of methods via programming. Instructor: Leyfer; Credits: 4; LEC/LAB: Tues/Thurs 1:30 pm – 3:15 pm. Topics covered include cell biology of the neuron, development of the nervous system, synaptic plasticity, learning and behavior, and network modeling. The semester would be on cancer, aging and diabetes with class projects on COVID-19. Three hours lecture, one hour discussion. Instructor: Galletti; Credits: 4; Students registering for CAS CS506 must register for two sections: a Lec section and a Lab section. Point estimation including unbiasedness, efficiency, consistency, sufficiency, minimum variance unbiased estimator, Rao-Blackwell theorem, and Rao-Cramer inequality. Maximum likelihood and method of moment estimations; interval estimation; tests of hypothesis, uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, and chi-square test. Topics include Markov chains, Poisson process, birth and death processes, queuing theory, renewal processes, and reliability. Topics including genomics, mouse transgenics systems, signal transduction, chromatin structure, and cell cycle. Prereq: M.S. 2020-2021 Academic Year. One rotation must be experimental, one computational, and the third can be either. Fully in person and hybrid courses will have schedules ⦠The first digit indicates the year in which the course is usually ⦠This course will provide the student with practical, applied experience in performing genome wide association analyses (GWAS) and to use the results of GWAS to better understand the biologic basis of disease. Students must bring laptop to each class. This course aims at reframing the basic concepts of cell and molecular biology in a quantitative context and providing a basic overview of some of the key approaches used to develop a quantitative framework inside the cell. Students will learn how to conduct statistical analysis using the public domain and free statistical software, R. Many public, private, and international organizations use R to conduct analysis, thus experience with R is a great skill to add to one’s credentials. Prereq: CAS MA 226 & CAS MA 242. The PDF will include all information unique to this page. Instructor: Gilmore; Credits: 4; Tues/Thurs 1:00 pm – 4:45 pm. Prereq: CAS CS 112 & CAS CS 330 and familiarity with linear algebra, probability, and statistics. Course schedule. web: A1 Coppock: TR 11-12:15 CAS 426: Systematic examination of how meaning is encoded in ⦠Provides engineering perspectives on the building blocks of living cells and materials for biotechnology. Markov chains, Chapman-Kolmogorov equation. Course content varies with the instructor. Discussion of molecular biological techniques, including genetics and recombinant DNA techniques. Prereq: CAS MA575 or consent of instructor. The same is true of undergraduate students who transferred into BU beginning in Fall 2020. Theory of interpolation and functional approximation, divided differences. Phd Students Only. This course will emphasize data manipulation and basic statistical analysis including exploratory data analysis, classical statistical tests, categorical data analysis, and regression. Course Catalog 202120 2021 2020-2021 Spring Semester 2021 SWKSCAT /courses/!SWKSCAT.cat CATA AND HTML year Rice University Catalog - Course Subject List Course Catalog: 2020-2021 ⦠Content varies with the instructor but may include material from such areas as advanced methods in molecular spectroscopy and magnetic resonance, non-linear laser-induced phenomena, and photoionization and electron-molecule scattering. Make the most of your winter breakâexpand your horizons by taking a J Term course on campus or abroad. Here you can access academic offerings-anytime and anywhere-from your computer or mobile device. The Course Catalog is a comprehensive listing of all credit-bearing courses offered by the University of Arizona since Fall 2010. 2nd year Full-Time MBA students and PEMBAs who wish to register for a Mod 4 course, may add their name to the waitlist. Topics include adaptation, natural and sexual selection, species and species formation, phylogenetics, origin of evolutionary novelty, adaptive radiation, basic population and quantitative genetics, development and evolution. This course covers applications of modern statistical methods using R, a free and open source statistical computing package with powerful yet intuitive graphic tools. LEC (A1) Tues/Thurs 9:30 am – 10:45 am; and DISC (B1) Mon 9:05 am– 9:55 am OR (B2) Mon 10:10 am – 11:00 am; and LAB (C1) Fri 11:15 am – 12:05 pm OR (C2) Fri 12:20 pm – 1:10 pm, CAS MA 576-A1: Generalized Linear Models Prereq: SPH BS 723 or SPH BS 730 or consent of instructor. Instructor: Eden; Credits: 4; Students registering for CAS MA576 must register for two sections: a Lec section, and a Dis section. Welcome to the 2020-2021 Academic Catalog for California State University San Bernardino.. This course introduces graduate and upper–level undergraduate students to the principles of bioinformatic analysis applied to translational studies. Projects will be proposed by the Bioinformatics program faculty and selected by student in teams of three. Topics include regression, kernels, support vector machines, feature selection, boosting, clustering, hidden Markov models, and Bayesian networks. Instructor: Lunetta; Credits: 4; Mon 2:00 pm – 4:50 pm, ENG EC 534-A1: Discrete Stochastic Models The course will then describe the statistical techniques used to compare gene expression across different conditions and it will progress to describe the analysis of more complex experiments designed to identify genes with similar functions and to build models for molecular classification. During the last 2 months of the academic year, teams will design feasible validation experiments in consultation with the experimental faculty. In the course, we focus on the ability to use genetic model organism systems to probe these problems, and therefore will heavily explore the experimental aspects of these investigations. Discrete and continuous random variables, mean and variance, functions of random variables, moment generating function. Prereq: CAS CS 112; or equivalent programming experience, and familiarity with linear algebra, probability, and statistics. Explore the details and descriptions of courses & departments. Reviews all basic concepts covered in a first statistics course (e.g., CAS MA 613) and presents, in detail, more advanced topics such as analysis of variance, covariance, experimental design, correlation, regression, and selected nonparametric techniques. This publication provides information about the University. General Catalog Expiration Date: Last day of the spring 2027 semester. Looking for some course suggestions? Ball State University provides equal opportunity in employment and in its education programs, activities, and facilities without regard to race, religion, color, sex sexual orientation, disability, national origin, ancestry, or age. Discrete and continuous random variables, mean and variance, functions of random variables, moment generating function. Emphasizes the purification and characterization of proteins and DNA. Development and use of modern instrumentation and techniques. Instructor: Dasgupta; Credits: 4; LEC: (A1) Tues/Thurs 1:00 – 2:50 pm, CAS BI 527: Biochemistry Laboratory 1 Numerical solutions of equations, iterative methods, analysis of sequences. Regulation and control of the synthesis of RNA and proteins. Numerical differentiation and integration. Courses listed in the Course Catalog may not be offered every semester; for up to date information on which courses are offered in a ⦠Prereq: CAS CS 112 & CAS CS 330 and familiarity with linear algebra, probability, and statistics. Instructor: Medrano; Credits: 4; LEC: (A1) Mon 12:20 pm – 2:05 pm, (A2): Tues 5:00 pm – 6:45 pm, CAS BI 552: Molecular Biology I Instructor: Zhang; Credits 4; Students registering for CAS MA575 must register for three sections: a Lec section, and a Dis section, and a Lab section. Boston University Course Search. This information can also be found on the Student Link. Three hours lecture, one hour discussion. LEC: (A1) Mon/Weds 12:20 pm – 1:35 pm; LAB: (A2) Fri 8:00 am – 8:50 am; (A3) OR Fri 9:05 am – 9:55 am OR (A4) 10:10 am – 11:00 pm OR (A5) 11:15 am – 12:05 pm, SPH BS 730-A1: Introduction to R: Software for Statistical Computing Statistical tools such as genetic association analysis are used to help unravel the genetic component of complex disease. All BU undergraduates enrolling in Summer Term courses should consider their Hub requirements when selecting courses. Introduction to molecular biology of eukaryotes. Course catalog for College of DuPage. Students can find additional information in the Undergraduate Student Guide and Graduate & Professional Student Guide. You can also find other Boston University summer programs here. Prereq: CAS CS 108 or CAS CS 111; CAS CS 132 or CAS MA 242 or CAS MA 442. Glassell School of Art . Visit Back2BU for the latest updates and information on BU's response to COVID-19. Summarizes currently existing biological databases and the Web-based programming tools for their access. Simple and multiple linear regression, weighted and generalized least squares, polynomials and factors, transformations, regression diagnostics, variable selection, and a selection from topics on extensions of linear models. Courses / Early Spring 2021; Course categories: Search courses: Page: 1 2 . 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