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Mike Jackson

Instructor listed on Rice's public Course Schedule.

Average rating

3.7

30 temporary mock ratings

Difficulty

3.4

course-linked average

Courses

7

in seeded sections

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This instructor is listed in Rice's public course schedule, but Perch did not find a reliable match in the public People of Rice profile directory.

Courses taught

STAT 482

Quant Financial Analytics

A modern approach to fundamental analytics of securities, the classic works of Graham and Dodd. Deconstructing the Efficient Market Hypothesis Financial Statement Analysis, Capital Market Theory, CAPM, APT, Fama-French Empirical Financial Forecasting. Cross-list: STAT 682. Mutually Exclusive: Cannot register for STAT 482 if student has credit for STAT 682.

StatisticsNone3 credits
3.88.1hJackson, Mike

STAT 490

Undergraduate Research In Stat

This course provides 1-3 credit hours of credit for STAT majors who wish to pursue a research project of mutual interest to the student and a faculty member in a selected area of statistical specialization. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit.

StatisticsNone1-3 credits
3.18.4hBarman, Arko, Chi, Eric, Ensor, Katherine, Guerra, Rudy, Hopkins, Loren, Jackson, Mike, Kimmel, Marek, Lan, Xinjie, Li, Meng, McGuffey, Elizabeth, Peterson, Christine, Shaw, Chad, Vannucci, Marina, Viens, Frederi

STAT 499

Cofes Quantitative Finance

This course prepares a student for research in the statistical sciences. Topics may change each semester depending on instructor interest. Current topics include bioinformatics, computational finance, data science, Bayesian methods, mathematical tools for statistics, simulation, optimization, and dependent data, high-dimensional problems, and complex problems. Additional topics may be introduced. Contact the instructor for more information. Cross-list: STAT 699. Repeatable for Credit.

StatisticsNone1-3 credits
4.05.7hJackson, Mike

STAT 540

Practicum In Stat & Data Sci

Designed for graduate students in statistics. This course introduces current theoretical and applied problems encountered in statistical practice through practical internships. Students will be required to complete a paid or unpaid off-campus internship. MSTAT students will be required to submit a written, 10-15 page report/document summarizing the statistical experience developed during the internship, as well documenting how the internship was instrumental to the Master's in Statistical course of study. Repeatable for Credit.

StatisticsNone1-3 credits
4.17.0hJackson, Mike

STAT 590

Grad Research In Statistics

Research course for graduate level research in probability and statistics. This course provides 1-15 hours of credit for students who wish to pursue a statistical research project of mutual interest to the student and a faculty member. The student will conduct independent research under the faculty member’s direction. Repeatable for Credit. Repeatable for Credit.

StatisticsNone1-15 credits
3.69.3hBarman, Arko, Chi, Eric, Ensor, Katherine, Guerra, Rudy, Hopkins, Loren, Jackson, Mike, Kimmel, Marek, Li, Meng, Luo, Hengrui, Merenyi, Erzsebet, Peterson, Christine, Shaw, Chad, Vannucci, Marina, Viens, Frederi, Wang, Wenyi, Yuan, Ying

STAT 682

Quant Financial Analytics

A modern approach to fundamental analytics of securities, the classic works of Graham and Dodd. Deconstructing the Efficient Market Hypothesis Financial Statement Analysis, Capital Market Theory, CAPM, APT, Fama-French Empirical Financial Forecasting. Cross-list: STAT 482. Mutually Exclusive: Cannot register for STAT 682 if student has credit for STAT 482.

StatisticsNone3 credits
3.28.3hJackson, Mike

STAT 699

Cofes Quantitative Finance

This course prepares a student for research in the statistical sciences. Topics may change each semester depending on instructor interest. Current topics include bioinformatics, computational finance, data science, Bayesian methods, mathematical tools for statistics, simulation, optimization, and dependent data, high-dimensional problems, and complex problems. Additional topics may be introduced. Contact the instructor for more information. Cross-list: STAT 499. Repeatable for Credit.

StatisticsNone1-3 credits
3.58.6hJackson, Mike

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