Undergraduate Course Descriptions
Highlighted courses are being taught in Fall 2008.
STAT 113 Statistics and Society (Banner Course Number: 11300)
Semester: Fall Spring
Prerequisites: None
Credits: 3
Primary Audience: Liberal Arts. Not available for credit in College of Science.
Description: Offered Maymester as 113K. A course on statistical concepts emphasizing applications in public policy and in the social and behavioral sciences. Much writing and discussion are required. No mathematics beyond simple algebra is needed, but numerical skills are strengthened by constant use. STAT 113 can be used for general education or as preparation for later methodology courses. Teaches statistical ideas that will be useful in understanding and designing research in most areas of study.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring
Prerequisites: None
Credits: 3
Primary Audience: Liberal Arts. Not available for credit in College of Science.
Description: Offered Maymester as 113K. A course on statistical concepts emphasizing applications in public policy and in the social and behavioral sciences. Much writing and discussion are required. No mathematics beyond simple algebra is needed, but numerical skills are strengthened by constant use. STAT 113 can be used for general education or as preparation for later methodology courses. Teaches statistical ideas that will be useful in understanding and designing research in most areas of study.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 113K Statistics and Society (Banner Course Number: 11300)
Semester: Summer
Prerequisites: None
Credits: 3
Primary Audience: Liberal Arts. Not available for credit in College of Science.
Description: This course is only offered during MAYMESTER. During Fall and Spring it is offered as 113. A course on statistical concepts emphasizing applications in public policy and in the social and behavioral sciences. Much writing and discussion are required. No mathematics beyond simple algebra is needed, but numerical skills are strengthened by constant use. STAT 113K can be used for general education or as preparation for later methodology courses. Teaches statistical ideas that will be useful in understanding and designing research in most areas of study.
More Information
Semester: Summer
Prerequisites: None
Credits: 3
Primary Audience: Liberal Arts. Not available for credit in College of Science.
Description: This course is only offered during MAYMESTER. During Fall and Spring it is offered as 113. A course on statistical concepts emphasizing applications in public policy and in the social and behavioral sciences. Much writing and discussion are required. No mathematics beyond simple algebra is needed, but numerical skills are strengthened by constant use. STAT 113K can be used for general education or as preparation for later methodology courses. Teaches statistical ideas that will be useful in understanding and designing research in most areas of study.
More Information
STAT 170 Introduction to Actuarial Science (MA 170) (Banner Course Number: 17000)
Semester: Fall
Prerequisites: (or Corequisite): MATH 162 or equivalent
Credits: 2
Primary Audience: Actuarial Science
Description: An introduction to Actuarial Science from the point of view of practicing actuaries from life insurance, casualty insurance, and consulting; mathematical theory of interest; applications of calculators and computers to problems involving interest.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall
Prerequisites: (or Corequisite): MATH 162 or equivalent
Credits: 2
Primary Audience: Actuarial Science
Description: An introduction to Actuarial Science from the point of view of practicing actuaries from life insurance, casualty insurance, and consulting; mathematical theory of interest; applications of calculators and computers to problems involving interest.
Schedule and Textbook Information for Fall 2008
More Information
STAT 190 Topics in Statistics for Undergraduates (Banner Course Number: 19000)
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 190 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the freshman undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 190 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the freshman undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
STAT 225 Introduction to Probability Models (Banner Course Number: 22500)
Semester: Fall Spring Summer
Prerequisites: MATH 223 and 224.
Credits: 3
Primary Audience: Management.
Description: Probability theory with emphasis on the use of probability models in applications. Requires a year of calculus at the level of MATH 223-224. Does not cover statistical methods.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring Summer
Prerequisites: MATH 223 and 224.
Credits: 3
Primary Audience: Management.
Description: Probability theory with emphasis on the use of probability models in applications. Requires a year of calculus at the level of MATH 223-224. Does not cover statistical methods.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 250 Problem Solving in Probability (Banner Course Number: 25000)
Semester: Fall
Prerequisites: MA/STAT 416 is strongly recommended.
Credits: 2
Primary Audience: Actuarial Science majors
Description: This course is designed to teach techniques for solving problems in probability theory which are relevant to the actuarial sciences. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exam P/1.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall
Prerequisites: MA/STAT 416 is strongly recommended.
Credits: 2
Primary Audience: Actuarial Science majors
Description: This course is designed to teach techniques for solving problems in probability theory which are relevant to the actuarial sciences. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exam P/1.
Schedule and Textbook Information for Fall 2008
More Information
STAT 290 Topics in Statistics for Undergraduates (Banner Course Number: 29000)
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 290 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the sophomore undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 290 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the sophomore undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
STAT 290A.SP07 Problem Solving in Probability (MA 290A) (Banner Course Number: 29000)
Semester: Fall Spring
Prerequisites: MA/STAT 416 is strongly recommended.
Credits: 2
Primary Audience: Actuarial Science majors
Description: NOTE: This course will eventually become STAT 250. This course is designed to teach techniques for solving problems in probability theory which are relevant to the actuarial sciences. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exam P/1.
More Information
Semester: Fall Spring
Prerequisites: MA/STAT 416 is strongly recommended.
Credits: 2
Primary Audience: Actuarial Science majors
Description: NOTE: This course will eventually become STAT 250. This course is designed to teach techniques for solving problems in probability theory which are relevant to the actuarial sciences. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exam P/1.
More Information
STAT 290B.SP07 Problem Solving in Actuarial Models (Banner Course Number: 29000)
Semester: Spring
Prerequisites: Corequisite: STAT 473
Credits: 1
Primary Audience:
Description: This course is designed to teach techniques for solving problems in actuarial models. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exams M and (to a limited extent) C.
Note: Credit by examination is not available for this course.
More Information
Semester: Spring
Prerequisites: Corequisite: STAT 473
Credits: 1
Primary Audience:
Description: This course is designed to teach techniques for solving problems in actuarial models. It is intended to help actuarial students prepare for the Society of Actuaries and Casualty Actuarial Society Exams M and (to a limited extent) C.
Note: Credit by examination is not available for this course.
More Information
STAT 301 Elementary Statistical Methods (Banner Course Number: 30100)
Semester: Fall Spring Summer
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring Summer
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 301I.SP07 Elementary Statistical Methods (Banner Course Number: 30100)
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: This course has been replaced by 301Y. A version of STAT 301 that covers the same material, but offers a modified self-paced, mastery-learning method of instruction. There are no assigned class hours. Instead, students work with a study guide and take quizzes and exams in a resource room open more than 20 hours a week, including evenings. Students can repeat quizzes and exams (different versions covering the same material) if they stay ahead of deadlines that set a minimum pace to ensure that the course is completed in one semester. Intended for same students as STAT 301, but STAT 301I students must be well motivated and independent learners.
Students enrolled in 301I should contact the course coordinator, Ellen Gundlach, by email: gundlach@stat.purdue.edu.
More Information
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: This course has been replaced by 301Y. A version of STAT 301 that covers the same material, but offers a modified self-paced, mastery-learning method of instruction. There are no assigned class hours. Instead, students work with a study guide and take quizzes and exams in a resource room open more than 20 hours a week, including evenings. Students can repeat quizzes and exams (different versions covering the same material) if they stay ahead of deadlines that set a minimum pace to ensure that the course is completed in one semester. Intended for same students as STAT 301, but STAT 301I students must be well motivated and independent learners.
Students enrolled in 301I should contact the course coordinator, Ellen Gundlach, by email: gundlach@stat.purdue.edu.
More Information
STAT 301K Elementary Statistical Methods (Banner Course Number: 30100)
Semester: Fall Spring Summer
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout.
More Information
Semester: Fall Spring Summer
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering.
Description: Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, correlation and regression. Software is used throughout.
More Information
STAT 301T Elementary Statistical Methods (Banner Course Number: 30100)
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Technology
Description: A version of STAT 301 modified to meet the needs of the School of Technology. Covers quality control charts and process capability in place of binomial distributions and anova. Meets in ITaP computer lab once a week, using Excel for statistical calculations and graphical displays. Emphasizes working with data and understanding the essential ideas and methods of applied statistics.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Technology
Description: A version of STAT 301 modified to meet the needs of the School of Technology. Covers quality control charts and process capability in place of binomial distributions and anova. Meets in ITaP computer lab once a week, using Excel for statistical calculations and graphical displays. Emphasizes working with data and understanding the essential ideas and methods of applied statistics.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 301Y Elementary Statistical Methods (Banner Course Number: 30100)
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering
Description: An online version of STAT 301 that covers the same material. Methods of applied statistics for undergraduates with good algebra but no alculus. Emphasizes working with data and understanding the essential ideas and methods of applied statistics. Includes experience with the statistical techniques within the software package SPSS. Course meets in virtual computer lab once a week. Primarily intended for students who will take only one statistics course.
Students enrolled in 301Y should contact the course coordinator, Ellen Gundlach, by email: gundlach@stat.purdue.edu.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring
Prerequisites: MA 153 and 154, or equivalent algebra and trigonometry.
Credits: 3
Primary Audience: Agriculture, CFS, Health Science, but not Technology, Mathematical Sciences, or Engineering
Description: An online version of STAT 301 that covers the same material. Methods of applied statistics for undergraduates with good algebra but no alculus. Emphasizes working with data and understanding the essential ideas and methods of applied statistics. Includes experience with the statistical techniques within the software package SPSS. Course meets in virtual computer lab once a week. Primarily intended for students who will take only one statistics course.
Students enrolled in 301Y should contact the course coordinator, Ellen Gundlach, by email: gundlach@stat.purdue.edu.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 311 Introductory Probability (Banner Course Number: 31100)
Semester: Fall Spring
Prerequisites: MATH 161-162 or equivalent.
Credits: 3
Primary Audience: Mathematics education.
Description: Primarily probability theory, but with a brief introduction to statistics. Requires a year of calculus at the MATH 161-162 level. Does not contain enough statistics to serve as preparation for second courses in statistics such as STAT 502 and 512. Intended primarily for mathematics education majors. Taught Spring Semester Only.
More Information
Semester: Fall Spring
Prerequisites: MATH 161-162 or equivalent.
Credits: 3
Primary Audience: Mathematics education.
Description: Primarily probability theory, but with a brief introduction to statistics. Requires a year of calculus at the MATH 161-162 level. Does not contain enough statistics to serve as preparation for second courses in statistics such as STAT 502 and 512. Intended primarily for mathematics education majors. Taught Spring Semester Only.
More Information
STAT 350 Introduction to Statistics (Banner Course Number: 35000)
Semester: Fall Spring
Prerequisites: MATH 161-162 or equivalent.
Credits: 3
Primary Audience: Acturial Science, Mathematics, Mathematics Education, or Statistics.
Description: A data-oriented introduction to the fundamental concepts and methods of applied statistics. STAT 350 is intended primarily for majors in the mathematical sciences (Actuarial Science, Mathematics, Mathematics Education, or Statistics). It covers material similar to that of STAT 511 (for engineering and physical sciences). Students from these majors may take STAT 350 if space is available. STAT 350 is more software-intensive and covers more data-analytic material or STAT 511, but does less formal probability.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall Spring
Prerequisites: MATH 161-162 or equivalent.
Credits: 3
Primary Audience: Acturial Science, Mathematics, Mathematics Education, or Statistics.
Description: A data-oriented introduction to the fundamental concepts and methods of applied statistics. STAT 350 is intended primarily for majors in the mathematical sciences (Actuarial Science, Mathematics, Mathematics Education, or Statistics). It covers material similar to that of STAT 511 (for engineering and physical sciences). Students from these majors may take STAT 350 if space is available. STAT 350 is more software-intensive and covers more data-analytic material or STAT 511, but does less formal probability.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 390 Topics in Statistics for Undergraduates (Banner Course Number: 39000)
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 390 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the junior undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: STAT 390 will consist of readings, discussions, written reports and/or data analyses on special topics in statistics and probability, arranged as a reading course or as a class with regular meetings, at the junior undergraduate level, under the supervision of a faculty member for the enrichment of the student's knowledge in the statistical sciences. Consent of the instructor is required.
Schedule and Textbook Information for Fall 2008
More Information
STAT 416 Probability (MA 416) (Banner Course Number: 41600)
Semester: Fall Spring
Prerequisites: MATH 174, 261 or equivalent
Credits: 3
Primary Audience: Actuarial Science, Mathematics, Statistics.
Description: An introduction to mathematical probability suitable as preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability, and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring
Prerequisites: MATH 174, 261 or equivalent
Credits: 3
Primary Audience: Actuarial Science, Mathematics, Statistics.
Description: An introduction to mathematical probability suitable as preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability, and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem.
Schedule and Textbook Information for Fall 2008
More Information
STAT 417 Statistical Theory (Banner Course Number: 41700)
Semester: Fall Spring
Prerequisites: MATH/STAT 416 or equivalent. STAT 350 or equivalent is desirable.
Credits: 3
Primary Audience: Actuarial Science, Mathematics, Statistics.
Description: An introduction to the mathematical theory of statistical inference, emphasizing inference for standard parametric families of distributions. Properties of estimators. Bayes and maximum likelihood estimation. Sufficient statistics. Properties of test of hypotheses. Most powerful and likelihood-ratio tests. Distribution theory for common statistics based on normal distributions.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring
Prerequisites: MATH/STAT 416 or equivalent. STAT 350 or equivalent is desirable.
Credits: 3
Primary Audience: Actuarial Science, Mathematics, Statistics.
Description: An introduction to the mathematical theory of statistical inference, emphasizing inference for standard parametric families of distributions. Properties of estimators. Bayes and maximum likelihood estimation. Sufficient statistics. Properties of test of hypotheses. Most powerful and likelihood-ratio tests. Distribution theory for common statistics based on normal distributions.
Schedule and Textbook Information for Fall 2008
More Information
STAT 420 Introduction to Time Series (Banner Course Number: 42000)
Semester: Spring
Prerequisites: MA/STAT 416 or equivalent and STAT 350 or equivalent.
Credits: 3
Primary Audience: Actuarial Science, Engineering, and Science students.
Description: Previously taught as STAT 490T. An introduction to time series analysis suitable for actuarial science, engineering, and sciences. Model building and forecasting with ARMA and ARIMA models. Resampling methods for confidence intervals. Multivariate, state-space, and nonlinear models. Volatility models (ARCH and GARCH). Smoothing in time series.
More Information
Semester: Spring
Prerequisites: MA/STAT 416 or equivalent and STAT 350 or equivalent.
Credits: 3
Primary Audience: Actuarial Science, Engineering, and Science students.
Description: Previously taught as STAT 490T. An introduction to time series analysis suitable for actuarial science, engineering, and sciences. Model building and forecasting with ARMA and ARIMA models. Resampling methods for confidence intervals. Multivariate, state-space, and nonlinear models. Volatility models (ARCH and GARCH). Smoothing in time series.
More Information
STAT 472 Actuarial Models (Banner Course Number: 47200)
Semester: Fall
Prerequisites: MA 373 and MA/STAT 416
Credits: 3
Primary Audience: Actuarial Science.
Description: Mathematical foundations of actuarial science emphasizing probability models for life contingencies as the basis for analyzing life insurance and life annuities and determining premiums. This course, together with its sequel, STAT 473, provides most of the background for Course 3 of the Society of Actuaries and the Casualty Actuarial Society.
Taught Fall Semester Only.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall
Prerequisites: MA 373 and MA/STAT 416
Credits: 3
Primary Audience: Actuarial Science.
Description: Mathematical foundations of actuarial science emphasizing probability models for life contingencies as the basis for analyzing life insurance and life annuities and determining premiums. This course, together with its sequel, STAT 473, provides most of the background for Course 3 of the Society of Actuaries and the Casualty Actuarial Society.
Taught Fall Semester Only.
Schedule and Textbook Information for Fall 2008
More Information
STAT 473 Actuarial Models II (Banner Course Number: 47300)
Semester: Spring
Prerequisites: STAT 472.
Credits: 3
Primary Audience: Actuarial Science.
Description: Continuation of STAT 472. Together, these courses cover contingent payment models, survival models, frequency and severity models, compound distribution models, simulation models, stochastic process models and ruin models. Taught Spring Semester Only.
More Information
Semester: Spring
Prerequisites: STAT 472.
Credits: 3
Primary Audience: Actuarial Science.
Description: Continuation of STAT 472. Together, these courses cover contingent payment models, survival models, frequency and severity models, compound distribution models, simulation models, stochastic process models and ruin models. Taught Spring Semester Only.
More Information
STAT 478 Introduction to Bioinformatics (CS 478 and BIOL 478) (Banner Course Number: 47800)
Semester: Fall
Prerequisites: BIOL 231 and 241 or BIOL 295E and CS 180 or equivalent courses are required; also by consent of instructor.
Credits: 3
Primary Audience: Designed for science undergraduate students who have attained at least junior-level standing in their major. Background in biology and computational science are required. Special considerations for students outside these areas will be considered.
Description: The unveiling of the map of the human genome signals the dawning of the post-genomics age. New technologies and information are reapidly converging to change the way we do science and the way science will impact our culture. Some of these developments include the sequencing of the chromosomal content in an entire organism, high through-put strategies to identify genes whose patterns of expression change in response to the needs of the organism, and advances in the visualization of the structures of the proteins that are encoded by the genes.
This inter-disciplinary course is team-taught by faculty from biology, computer sciences, and statistics. The course will focus on genome analysis, protein structural analysis and gene expression profiling (microarray) strategies, and will include a presentation of the context of bioinformatics, the methods of data acquisition, the strategies by which the data are analyzed including the use of appropriate anaysis software, and the ways the data are interpreted.
More Information
Semester: Fall
Prerequisites: BIOL 231 and 241 or BIOL 295E and CS 180 or equivalent courses are required; also by consent of instructor.
Credits: 3
Primary Audience: Designed for science undergraduate students who have attained at least junior-level standing in their major. Background in biology and computational science are required. Special considerations for students outside these areas will be considered.
Description: The unveiling of the map of the human genome signals the dawning of the post-genomics age. New technologies and information are reapidly converging to change the way we do science and the way science will impact our culture. Some of these developments include the sequencing of the chromosomal content in an entire organism, high through-put strategies to identify genes whose patterns of expression change in response to the needs of the organism, and advances in the visualization of the structures of the proteins that are encoded by the genes.
This inter-disciplinary course is team-taught by faculty from biology, computer sciences, and statistics. The course will focus on genome analysis, protein structural analysis and gene expression profiling (microarray) strategies, and will include a presentation of the context of bioinformatics, the methods of data acquisition, the strategies by which the data are analyzed including the use of appropriate anaysis software, and the ways the data are interpreted.
More Information
STAT 490 Topics in Statistics for Undergraduates (Banner Course Number: 49000)
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: Supervised reading course or special topics course at the senior level for undergraduates. Requires consent of instructor.
Schedule and Textbook Information for Fall 2008
More Information
Semester: Fall Spring Summer
Prerequisites:
Credits: 1-5
Primary Audience:
Description: Supervised reading course or special topics course at the senior level for undergraduates. Requires consent of instructor.
Schedule and Textbook Information for Fall 2008
More Information
STAT 490B.F07 Introduction to Bioinformatics (Banner Course Number: 49000)
Semester: Fall
Prerequisites:
Credits: 3
Primary Audience:
Description: This class will be taught as STAT478 in Fall 2008. Bioinformatics is broadly defined as the study of molecular biological information, targeting particularly the enormous volume of DNA sequence and functional complexity embedded in entire genomes.
Topics will include
Inherently, bioinformatics is interdisciplinary, melding various applications of computational science with biology. This jointly taught course introduces analytical methods from biology, statistics and computer science that are necessary for bioinformatics investigations.
The course is intended for junior and senior undergraduates from various science backgrounds. Our objective is to develop the skills of both tool users and tool designers in this important new field of research.
More Information
Semester: Fall
Prerequisites:
Credits: 3
Primary Audience:
Description: This class will be taught as STAT478 in Fall 2008. Bioinformatics is broadly defined as the study of molecular biological information, targeting particularly the enormous volume of DNA sequence and functional complexity embedded in entire genomes.
Topics will include
- understanding the evolutionary organization of genes (genomics),
- the structure and function of gene products (proteomics),
- and the dynamics of gene expression in biological processes (transcriptomics).
Inherently, bioinformatics is interdisciplinary, melding various applications of computational science with biology. This jointly taught course introduces analytical methods from biology, statistics and computer science that are necessary for bioinformatics investigations.
The course is intended for junior and senior undergraduates from various science backgrounds. Our objective is to develop the skills of both tool users and tool designers in this important new field of research.
More Information
STAT 490C Loss Models (Banner Course Number: 49000)
Semester: Fall
Prerequisites: A thorough knowledge of calculus, probability and mathematical statistics is assumed.
Credits: 3
Primary Audience: Actuarial Science students
Description: This material provides an introduction to modeling and covers important actuarial methods that are useful in modeling. Students will be introduced to survival, severity, frequency and aggregate models, and use statistical methods to estimate parameters of such models given sample data. The student will further learn to identify steps in the modeling process, understand the underlying assumptions implicit in each family of models, recognize which assumptions are applicable in a given business application, and appropriately adjust the models for impact of insurance coverage modifications. The student will be introduced to a variety of tools for the calibration and evaluation of the models.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
Semester: Fall
Prerequisites: A thorough knowledge of calculus, probability and mathematical statistics is assumed.
Credits: 3
Primary Audience: Actuarial Science students
Description: This material provides an introduction to modeling and covers important actuarial methods that are useful in modeling. Students will be introduced to survival, severity, frequency and aggregate models, and use statistical methods to estimate parameters of such models given sample data. The student will further learn to identify steps in the modeling process, understand the underlying assumptions implicit in each family of models, recognize which assumptions are applicable in a given business application, and appropriately adjust the models for impact of insurance coverage modifications. The student will be introduced to a variety of tools for the calibration and evaluation of the models.
Schedule and Textbook Information for Fall 2008
More Information
Course Page for Fall 2008
STAT 490C.SP07 Healthcare Plans, Data and Financing (Banner Course Number: 49000)
Semester: Spring
Prerequisites: STAT 350 and STAT 416. Consent of Instructor is required.
Credits: 3
Primary Audience: Actuarial Science students
Description: To be taught by Visiting Professor Jerone N. "Jer" Deverman, PhD, having over thirty years experience within the healthcare insurance plans, claim systems, claims data, and financing field, STAT 490C, Spring Semester 2007, will add the important dimension of healthcare insurance and financing to Purdue's Actuarial Science Program. This will be a very much applied course. Students should expect to gain a comprehensive overview of healthcare plans within the United States today and a thorough understanding of healthcare claims data available to those actuaries and others working within the healthcare insurance and/or financing area. What is frequently referred to as today's "healthcare crisis" within the United States will be well understood via this course. Prerequisites have been kept at a fairly minimal level to encourage broad student participation for this unique course offering. May 2007 graduating seniors intending to graduate with honors will be required to take this course and will also do and report on individual special projects to be assigned and/or approved by the instructor. STAT 490C should be considered a must have course for any student contemplating working anywhere within the healthcare insurance and/or financing area.
More Information
Semester: Spring
Prerequisites: STAT 350 and STAT 416. Consent of Instructor is required.
Credits: 3
Primary Audience: Actuarial Science students
Description: To be taught by Visiting Professor Jerone N. "Jer" Deverman, PhD, having over thirty years experience within the healthcare insurance plans, claim systems, claims data, and financing field, STAT 490C, Spring Semester 2007, will add the important dimension of healthcare insurance and financing to Purdue's Actuarial Science Program. This will be a very much applied course. Students should expect to gain a comprehensive overview of healthcare plans within the United States today and a thorough understanding of healthcare claims data available to those actuaries and others working within the healthcare insurance and/or financing area. What is frequently referred to as today's "healthcare crisis" within the United States will be well understood via this course. Prerequisites have been kept at a fairly minimal level to encourage broad student participation for this unique course offering. May 2007 graduating seniors intending to graduate with honors will be required to take this course and will also do and report on individual special projects to be assigned and/or approved by the instructor. STAT 490C should be considered a must have course for any student contemplating working anywhere within the healthcare insurance and/or financing area.
More Information
STAT 490T.SP07 Introduction to Time Series (Banner Course Number: 49000)
Semester: Spring
Prerequisites: MATH/STAT 416, 417 or equivalent
Credits: 3
Primary Audience: Undergraduates in Actuarial Science, Engineering and Sciences.
Description: An introduction to time series analysis suitable for actuarial science, engineering and sciences. Estimation, data analysis and forecasting with moving average, autoregressive, ARMA and ARIMA models. Resampling methods for confidence intervals. Nonlinear models. Smoothing in time series.
More Information
Semester: Spring
Prerequisites: MATH/STAT 416, 417 or equivalent
Credits: 3
Primary Audience: Undergraduates in Actuarial Science, Engineering and Sciences.
Description: An introduction to time series analysis suitable for actuarial science, engineering and sciences. Estimation, data analysis and forecasting with moving average, autoregressive, ARMA and ARIMA models. Resampling methods for confidence intervals. Nonlinear models. Smoothing in time series.
More Information
