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Courses - Spring 2024
BIOM
Biometrics
Open Seats as of
02/28/2024 at 10:30 PM
BIOM301
Introduction to Biometrics
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: MATH113 or MATH115.
Descriptive statistics, introduction to probability, sampling, confidence interval estimation, hypothesis testing, simple regression and correlation. Emphasis on simple applications of statistical techniques and interpretation of statistical results.
BMGT
Business and Management Department Site
BMGT230
Business Statistics
Credits: 3
Grad Meth: Reg
GenEd: FSAR
Prerequisite: MATH113 or MATH115; or must have math eligibility of MATH120 or higher.
Restriction: Must not have completed ENCE302, ENME392, STAT400, BMGT231, or ENEE324.
Introductory course in probabilistic and statistical concepts including descriptive statistics, set-theoretic development of probability, the properties of discrete and continuous random variables, sampling theory, estimation, hypothesis testing, regression and decision theory and the application of these concepts to problem solving in business and management.
Where a BMGT exam conflicts with a regularly scheduled class, the student will be provided with a makeup exam.
BMGT230B
Business Statistics
Credits: 3
Grad Meth: Reg
GenEd: FSAR
Prerequisite: MATH113 or MATH115; or must have math eligibility of MATH120 or higher.
Restriction: Must not have completed ENCE302, ENME392, STAT400, BMGT231, or ENEE324.
Introductory course in probabilistic and statistical concepts including descriptive statistics, set-theoretic development of probability, the properties of discrete and continuous random variables, sampling theory, estimation, hypothesis testing, regression and decision theory and the application of these concepts to problem solving in business and management.
Restricted to BMGT majors. Where a BMGT exam conflicts with a regularly scheduled class, the student will be provided a makeup exam.
BMGT230L
Business Statistics
Credits: 3
Grad Meth: Reg
GenEd: FSAR
Prerequisite: MATH113 or MATH115; or must have math eligibility of MATH120 or higher.
Restriction: Must not have completed ENCE302, ENME392, STAT400, BMGT231, or ENEE324.
Introductory course in probabilistic and statistical concepts including descriptive statistics, set-theoretic development of probability, the properties of discrete and continuous random variables, sampling theory, estimation, hypothesis testing, regression and decision theory and the application of these concepts to problem solving in business and management.
Restricted to Smith Business Leadership Fellows (SBLF); College Park Scholars - Business, Society and the Economy (CPBE); and Interdisciplinary Business Honors (HBUS).
CCJS
Criminology and Criminal Justice Department Site
CCJS200
(Perm Req)
Statistics for Criminology and Criminal Justice
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: CCJS100 or CCJS105; and 1 course with a minimum grade of C- from (STAT100, MATH107, MATH111, MATH120, MATH130, MATH135, MATH140).
Restriction: Must be in Criminology and Criminal Justice program; or permission of BSOS-Criminology & Criminal Justice department.
Introduction to descriptive and inferential statistics, graphical techniques, and the computer analysis of criminology and criminal justice data. Basic procedures of hypothesis testing, correlation and regression analysis, and the analysis of continuous and binary dependent variables. Emphasis upon the examination of research problems and issues in criminology and criminal justice.
DATA
Data Science and Analytics
DATA100
Elementary Statistics and Probability
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR, FSMA
Prerequisite: MATH110, MATH112, MATH113, or MATH115; or permission of CMNS-Mathematics department; or must have math eligibility of STAT100 or higher and math eligibility is based on the Math Placement Exam or the successful completion of Math 003 with appropriate eligibility.
Restriction: Must not have completed MATH111; or must not have completed any MATH or STAT course with a prerequisite of MATH141.
Cross-listed with: STAT100.
Credit only granted for: DATA100 or STAT100.
Simplest tests of statistical hypotheses; applications to before-and-after and matched pair studies. Events, probability, combinations, independence. Binomial probabilities, confidence limits. Random variables, expected values, median, variance. Tests based on ranks. Law of large numbers, normal approximation. Estimates of mean and variance.
ECON
Economics Department Site
ECON230
Applied Economic Statistics
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: Must have math eligibility of MATH113 or higher; or 1 course with a minimum grade of C- from (MATH107, MATH110); and minimum grade of C- in ECON200 and ECON201.
Recommended: Students should already have basic familiarity with Microsoft Excel or similar spreadsheet software.
Restriction: Must be in Economics Bachelor of Arts program.
Introductory course to develop understanding of statistical concepts used in applied economics. Students will acquire skills needed to calculate and interpret statistical concepts, including descriptive statistics, probability, discrete and continuous distributions, sampling, point and interval estimations, hypothesis testing, basic analysis of variance, and simple linear regression models. Students will apply these concepts to data using both handheld calculators and spreadsheets(Excel), and students will be introduced to an econometric software package such as SPSS or SAS or R.
EDHD
Education, Human Development Department Site
EDHD306
Research Methods in Human Development
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Addresses the scientific concepts and principles central to the study of human behavior and development. Students will learn about basic research methods in studying human behavior in developmental context and will participate in experiential activities, such as conducting observations and collecting self-report data. Major themes: goals of developmental research, fundamental research designs, types of measurement, elements of good scientific writing, and ethical issues in the study of human development.
EDMS
Measurement, Statistics, and Evaluation Department Site
EDMS451
Introduction to Educational Statistics
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Restriction: Sophomore standing or higher.
Introduction to statistical reasoning; location and dispersion measures; computer applications; regression and correlation; formation of hypotheses tests; t-test; one-way analysis of variance; analysis of contingency tables.
EPIB
Epidemiology and Biostatistics Department Site
EPIB315
Biostatistics for Public Health Practice
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: Minimum grade of C- in EPIB301; or must have completed or be concurrently enrolled in HLTH200.
Restriction: Must be in one of the following programs (Public Health Science; Community Health).
Cross-listed with: HLTH300.
Credit only granted for: EPIB300, EPIB315 or HLTH300.
Formerly: EPIB300.
Additional information: Course is cross-listed; students should check program advising information to determine which counts for their major. Note that EPIB300 (old number) is still offered for students under previous curriculum.
An examination of biostatistical concepts and procedures as they relate to contemporary issues in public health. Focus on applications, hands-on-experience, and interpretations of statistical findings in public health research.
As agreed to during your change of major workshop or orientation to PHSC: - PHSC students who declared their major BEFORE the spring 2018 semester are required to take EPIB300 before EPIB301. - PHSC students who declared their major DURING the spring 2018 semester and later are required to take EPIB301 before EPIB315.
GEOG
Geographical Sciences Department Site
GEOG306
Introduction to Quantitative Methods for the Geographical Environmental Sciences
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and some advanced concepts, such as matrix methods, principal component analysis, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.
Students must pay a $40.00 lab materials fee.
JOUR
Journalism Department Site
JOUR405
(Perm Req)
Breaking News With Numbers: Statistics for Journalists
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: Minimum grade of C- in JOUR201; and (MATH107 or MATH110; or must have completed a higher level math course).
Restriction: Must be in a major in JOUR-Philip Merrill College of Journalism.
Common statistical tools, software and data visualization techniques will be used to allow students to analyze data and solve problems relevant to reporting and writing about politics, sports, criminal justice, business and other fields.
MATH
Mathematics Department Site
MATH120
Elementary Calculus I
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR, FSMA
Prerequisite: 1 course with a minimum grade of C- from (MATH113, MATH115). Or must have math eligibility of MATH120 or higher; and math eligibility is based on the Math Placement Test.
Restriction: Not open to students majoring in mathematics, engineering, the biological sciences, biochemistry, chemistry, or the physical sciences; Must not have completed MATH130, MATH136 or MATH140 with a grade of C- or higher.
Formerly: MATH220.
Basic ideas of differential and integral calculus, with emphasis on elementary techniques of differentiation and applications.
MATH135
Discrete Mathematics for Life Sciences
Credits: 4
Grad Meth: Reg, P-F, Aud
GenEd: FSAR, FSMA
Prerequisite: Minimum grade of C- in MATH113 or MATH115; or must have math eligibility of MATH120 or higher; and math eligibility is based on the Math Placement Test.
Restriction: Must be in the Biological Sciences or Neuroscience major; and not open to students majoring in mathematics, engineering, or the physical sciences.
Basic discrete mathematics, with emphasis on relevant models and techniques to the life sciences.
MATH140
Credits: 4
Grad Meth: Reg, P-F, Aud
GenEd: FSAR, FSMA
Prerequisite: Minimum grade of C- in MATH115.
Introduction to calculus, including functions, limits, continuity, derivatives and applications of the derivative, sketching of graphs of functions, definite and indefinite integrals, and calculation of area. The course is especially recommended for science, engineering and mathematics majors.
Graphing calculators, or computers, etc., with software appropriate for graphing non-trivial functions and doing non-trivial calculations, will be needed.
PHIL
Philosophy Department Site
PHIL271
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Recommended: PHIL170.
This course provides students with a thorough treatment of the basic concepts and techniques of modern symbolic logic, through classical first-order logic with identity. We will concentrate on the construction of natural deduction proofs and on the evaluation of logical statements in semantic models. Along the way, we will study some of the concepts from set theory (sets, functions, relations) used in the definition of semantic models for logical systems. We may also introduce some alternative, or non-classical logics. Although the subject of symbolic logic was developed by mathematicians and philosophers for their own special purposes (which we will discuss), logical concepts and techniques have found applications in a variety of disciplines, including computer science, economics, law, linguistics, and psychology. We may also consider some of these applications.
PSYC
Psychology Department Site
PSYC200
Statistical Methods in Psychology
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: PSYC100; and 1 course with a minimum grade of C- from (STAT100, MATH107, MATH111, MATH120, MATH130, MATH136, or MATH140).
A basic introduction to quantitative methods used in psychological research.
Restricted to PSYC, ENSP, BSCI, and NEUR majors.
SOCY
Sociology Department Site
SOCY201
Introductory Statistics for Sociology
Credits: 4
Grad Meth: Reg, P-F, Aud
GenEd: FSAR
Prerequisite: SOCY100; and (MATH107 or MATH111).
Restriction: Must not have completed STAT400, BMGT231, or ENEE324.
Elementary descriptive and inferential statistics. Construction and percentaging of bivariate contingency tables; frequency distributions and graphic presentations; measures of central tendency and dispersion; parametric and nonparametric measures of association and correlation; regression; probability; hypothesis testing; the normal, binomial and chi-square distributions; point and interval estimates.
STAT
Statistics and Probability Department Site
STAT100
Elementary Statistics and Probability
Credits: 3
Grad Meth: Reg, P-F, Aud
GenEd: FSAR, FSMA
Prerequisite: MATH110, MATH112, MATH113, or MATH115; or permission of CMNS-Mathematics department; or must have math eligibility of STAT100 or higher and math eligibility is based on the Math Placement Exam or the successful completion of Math 003 with appropriate eligibility.
Restriction: Must not have completed MATH111; or must not have completed any MATH or STAT course with a prerequisite of MATH141.
Cross-listed with: DATA100.
Credit only granted for: DATA100 or STAT100.
Simplest tests of statistical hypotheses; applications to before-and-after and matched pair studies. Events, probability, combinations, independence. Binomial probabilities, confidence limits. Random variables, expected values, median, variance. Tests based on ranks. Law of large numbers, normal approximation. Estimates of mean and variance.