Emphasis is placed on the description of collaborative projects involving experimental and computational approaches to Bioinformatics research problems. The Saint Louis University Academic Catalog is for information purposes and does not constitute a contract. R is under more active development for new methods than other packages. Students can find additional information in the Undergraduate Student Guide and Graduate & Professional Student Guide. The primary focus will be using existing software tools and published data to perform analyses, but most tasks will require some programming. Methods for computational and biological validation will be discussed. Course content varies with the instructor. Investigators interested in the genetic analysis of complex traits need a basic understanding of the strengths and weaknesses of these methodologies. Glassell School of Art . The course will cover computational frameworks such as biological networks (including metabolic, regulatory and signal transduction networks), microarray analysis, proteomic analysis, next-generation sequencing, epigenomics, AI and machine learning (ML), elementary genetics, pathway modeling and analysis and other omics technologies to focusing on clinical problems such as cancer, diabetes, inflammation, aging and personalized medicine. 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. Searching for Classes. Instructor: Galletti; Credits: 4; LEC: (A1) Mon/Wed 4:30 pm – 5:45 pm; LAB (A2) Thurs 9:30 am – 10:20 am; (A3) Thurs 11:15 am – 12:05 pm; (A4) Thurs 12:30 – 1:20, CAS CS 542: Machine Learning Instructor: Gangopadhyay; Credits: 4; Students registering for GRS MA684 must register for two sections: a Lec section, and a Dis section. Instructor: Lunetta; Credits: 4; Mon 2:00 pm – 4:50 pm; Held at the MED Campus. Junior School Course Catalog. Description: Bioinformatics is an interdisciplinary field devoted to managing and analyzing largescale biological data, such as the DNA sequence of the human genome, and has become an essential tool in interpreting and translating biological knowledge for use in a clinical setting. Instructor: Gilmore; Credits: 4; Tues/Thurs 1:00 pm – 4:45 pm. 2020-2021 Catalog. Spring 2021; Short-Term Courses. Prereq: CASBI203 (or equivalent) & CASBI206 (or equivalent) or consent of instructor. 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. 1st year Bioinformatics PhD students only. This includes an introduction to information and coding theory. Prereq: SPH BS858 or EP763 or consent of instructor. Summer Programs. LEC: (A1) Mon/Wed/Fri 11:15 am – 12:05 pm; DIS: (A2) Tues 3:35 pm – 4:25 OR (A3) Tues 5:00 pm – 5:50 pm OR (A4) Mon 12:20 pm – 1:10 pm OR (A5) Mon 1:25 am – 2:15 pm, CAS MA 583-A1: Introduction to Stochastic Processes 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. Point estimation including unbiasedness, efficiency, consistency, sufficiency, minimum variance unbiased estimator, Rao-Blackwell theorem, and Rao-Cramer inequality. Three hours lecture, one hour discussion. Markov chains, Chapman-Kolmogorov equation. Special emphasis is placed on understanding assumptions and issues related to statistical methodologies. 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. Closed course list. Selected topics in discrete mathematics. Principles of algorithm design and core methods in computational biology, and an introduction of important problems in computational biology. Instructor: Osborne; Credits: 4; LEC: Tues/Thurs, 9:00 am – 10:45 am; Description: Describes relational data models and database management systems. Search our database of over 7,000 courses. FOLLOW US @questromgrad OFFICE HOURS MBA CENTER Fall & Spring ⦠Topic for Spring 2020: Warfare in Africa: Antiquity, the Slave Trade, Imperialism, and Insurgency. This course will serve as a foundation for understanding the heritable basis of numerous biological traits, the relationships among genes, and the regulation of their expression. Prereq: CAS CS 112 & CAS CS 330 and familiarity with linear algebra, probability, and statistics. If you are having any difficulty accessing our website, please contact the help desk at (386) 506-3950 or helpdesk@daytonastate.edu. Prereq: one year of statistics. We continue to monitor the developing public health situation. R is compatible with Apple OS, Windows, and Unix environments. Looking for some course suggestions? Any of these courses are adequate prerequisites for this course: BF527, BE505/BE605. Instructor: Naya; Credits: 4; LEC: Tues/Thurs 9:00 am – 10:45 am. Home > Academic Catalog 2020-2021 > Course Catalog > The course engages students with advanced themes in international management strategy, both in theory and in practice. Prereq: SPH PH 717 or SPH BS 704 or SPH BS 700 or SPH BS 800 or consent of instructor. Prereq: SPH PH 717 or SPH BS 704 or SPH BS 700 or SPH BS 800 or consent of instructor. Rotations typically last for a minimum of nine weeks. Academics; Course Catalog; The Ball State University Undergraduate Course Catalog and Graduate Catalog provide information about programs, courses, admissions, academic policies and requirements, and unique student opportunities. Mathematical deduction. These rotations will help students identify the laboratory in which they will perform their dissertation research. 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. 2020-2021 Catalog Course Descriptions Print-Friendly Page (opens a new window) ... Abbreviations (C) City Campus: F/S: Fall and Spring (N) North Campus: SS: Summer Session (S) South Campus: F+: Offered every other Fall: F: Fall: S+: Offered every other Spring : S: Spring: N: Non-Credit Course Outlines. Course Catalog - Spring 2021. This publication provides information about the University. Instructor: Galletti; Credits: 4; Students registering for CAS CS506 must register for two sections: a Lec section and a Lab section. The statistical techniques described in this course will include general methods for comparing population means, clustering, classification, simple graphical models and Bayesian networks. Instructor: Eden; Credits: 4; Students registering for CAS MA576 must register for two sections: a Lec section, and a Dis section. Application of multivariate data analytic techniques. Prereq: CAS CS 108 or CAS CS 111; CAS CS 132 or CAS MA 242 or CAS MA 442. Prereq: CASBI203 (or equivalent) & CASBI206 (or equivalent) or consent of instructor. Click here to view archieved catalogs from 2007-2008 to 2018-2019. 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 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. Additional resources are available at bu.edu/hub/advising-and-the-hub. Instructor: Patil; Credits 4; Fri 10:00 am – 12:50 pm; Held at the MED Campus, SPH BS 849-A1: Bayesian Modeling for Biomedical Research and Public Health Introduction to the use of numerical methods for studying mathematical models of biological systems. Spring 2021; Labs. Classification of states, limiting probabilities, Poisson process and its generalization, continuous-time Markov chains, queuing theory, reliability theory. Prereq: CAS BI 309 or permission of instructor. 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. Instructor: Szymczyna; Credits: 4; Students registering for CAS CH525 must register for two sections: a Lec section, and a Dis section. Introduction to modern machine learning concepts, techniques, and algorithms. Prereq: SPH BS858 or EP763 or consent of instructor. You can also type in a keyword to search course titles and descriptions. This course cannot be taken for credit in addition to the course entitled “Statistical Methods II” that was previously numbered CAS MA 614. Instructor: Garland; Credits: 4; Date/time Mon 4:30 pm – 6:15 pm. Semantics & Pragmatics: Introduction to Linguistic Meaning . Modern concepts, controversies, and analytical approaches in evolutionary biology. Health & Fitness E T HEALTH & WELLNESS A2L LIVE Math Science English Language Arts Music Tech & Coding Offline/Online Safety Art Theater/Movement 2020-2021 College Catalog Effective Fall 2020 - Summer 2021. 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. Additionally, the course is intended to give students the opportunity to practice and improve their scientific presentation abilities. LEC: Tues/Thurs 11:00 am – 12:15 pm; and DISC (B2) Mon 2:30 – 3:20 OR (B3) Mon 3:35 – 4:25 OR (B4) Mon 4:40 – 5:30, SPH BS 859-A1: Applied Genetic Analysis Prereq: SPH BS 723 or SPH BS 730 or consent of instructor. A1 Lindsey : TR 2-3:15 TBA Study of the fundamental properties that all languages share, and of how languages differ, with respect to structure (sound system, word formation, syntax), expression of meaning, acquisition, variation, and change; ⦠LEC: (A1) Mon/Wed/Fri 12:20 pm – 1:10 pm; DIS: (A2) Wed 1:25 – 2:15 pm OR (A3) Wed 2:30 pm – 3:20 pm OR (A4) Wed 3:35 am – 4:25 pm OR (A5) Wed 4:40 pm – 5:30 pm, GRS MA 684-A1: Applied Multiple Regression and Multivariable Methods Students will use specialized genetics software for homework assignments. Core topics include probability theory, estimation theory, hypothesis testing, linear models, GLMs, and experimental design. Every effort has been made to ensure the accuracy of the information presented in this catalog. Instructor: Benson; Credits: 2; Thurs 11:00 am-12:15 pm. Ordinary differential equations. Discussions will explore case studies that investigate the rich variety of scientific insights gained through genetic studies of aging, addiction, obesity, and others. Instructor: Labadorf; Credits: 4; LEC/LAB: Wed/Fri 2:30 pm – 4:15 pm. Emphasis on how knowledge was derived and the theoretical principles governing biochemistry. Kleene theorem. Instructor: Yu; Credits: 4; LEC: (A1) Mon/Wed/Fri 11:15 am – 12:05 pm; DIS Section: (A2) Mon 9:05 am – 9:55 am, (A3) Mon 1:25 pm – 2:15 pm, (A4) Mon 2:30 pm – 3:20 pm; or (A5) Tues 8:00 am – 8:50 am, Prereq: CAS MA 225 OR CAS MA 230 or consent of instructor, Instructor: Yu; Credits: 4; LEC: (A1) Mon/Wed/Fri 11:15 am – 12:05 pm; DIS Section: (A2) Mon 9:05 am – 9:55 am, (A3) Mon 1:25 pm – 2:15 pm, (A4) Mon 2:30 pm – 3:20 pm; or (A5) Tues 8:00 am – 8:50 am, CAS MA 582: Mathematical Statistics Emphasis on the algorithmic aspects as well as the application of mining in real-world problems. LEC: (A1) Tues/Thurs 2:00 pm – 3:15 pm, DISC: (B1) Wed 12:20 pm – 2:05 pm. Instructor: Bradham; Credits: 4; LEC: (A1) Tues/Thurs 2:00 pm – 3:15 pm, DIS: (B1) Wed 1:25 pm – 2:15 pm; (B2): Wed 2:30 – 3:20. Instructor: Levitin; Credits: 4; Mon/Weds 2:30 – 4:15. Required for entering Bioinformatics Ph.D. students. To determine if a course is remote, hybrid, or in-person use the catalog search tool to narrow results. Instructor: Galagan; Credits: 4; LEC: (A1) Tues/Thurs 9:00 am – 10:45 am; LAB Sections: (B1) Wed 2:30 – 5:15; (B2) Thurs 12:30 – 3:15; (B3) Fri 11:15 – 2:00, ENG EC 533: Advanced Discrete Mathematics Some key points to remember: Download PDF versions of the IAP class schedule and the spring class schedule (updated 2/1/2021). Instructor: Lunetta; Credits: 4; LEC: (A1) Thurs 2:00 pm – 4:50 pm, CAS MA 575: Linear Models This course introduces graduate and upper–level undergraduate students to the principles of bioinformatic analysis applied to translational studies. Course Descriptions Discrete and continuous random variables, mean and variance, functions of random variables, moment generating function. Academic Calendar. Students will take a critical approach to understand how theory influences practice and how our perceptions of strategy evolve over time and circumstance. Description: Three laboratory rotations are required during a Bioinformatics Ph.D. student’s first year. Prereq: CAS CS 108 or CAS CS 111; CAS CS 132 or CAS MA 242 or CAS MA 442. Specific topics include basic population genetics, linkage analysis and genetic association analyses with related and unrelated individuals. Instructor: Sharifzadeh; Credits: 4; LEC: (A1) Mon/Wed 10:10 am – 11:55 pm, SPH BS 858: Statistical Genetics I Lectures and assignments will be designed around reproducing the results of preselected studies from the literature that exemplify the topics. Instructors: Segre; Credits: 4; Mon/Wed 10:10 am – 11:55 am. Teaching modes (remote, hybrid, in-person) are subject to change at any point. Three hours lecture, one hour discussion. 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