Courses and Textbooks 2022 Spring Classes

Updated December 13, 2021

Actuarial Science — Spring 2022

ACTS:3080 MATHEMATICS OF FINANCE I (3 s.h.)
Section 0001
Instructor — Josh Zhiwei Tong
Required Text -- none; Required Other -- Texas Instrument BAII Plus calculator. 

ACTS:3210 ACTUARIAL EXAM FM PREP (1 s.h.)
Section 0001
Instructor: Stephanie Johnston
Required Text — none

ACTS:4160 TOPICS IN ACTUARIAL SCIENCE (3 s.h.)
Section 0001: Fundamentals of Short-Term Actuarial Mathematics
Instructor: N.D. Shyamalkumar
Required Text — none

ACTS:4180 LIFE CONTINGENCIES I (3 s.h.)
Instructor — Elias Shiu
Required Text — Dickson, Hardy and Waters, Actuarial Mathematics for Life Contingent Risks, 3rd ed, 2020 (Cambridge University Press). ISBN: 978-1108478083
Optional Text — Solutions Manual for Actuarial Mathematics for Life Contingent Risks, 3rd ed, 2020 (Cambridge University Press). ISBN: 978-1108747615

ACTS:4380 MATHEMATICS OF FINANCE II (3 s.h.)
Section 0001
Instructor —  Ambrose Lo
Optional Text — Lo, Derivative Pricing: A Problem-Based Primer, 2018 (Chapman & Hall/CRC Press Financial Mathematics Series). ISBN: 978-1138033351

 

Data Science — Spring 2022

DATA:4890  DATA SCIENCE PRACTICUM (2 s.h.)
Section 0001
Instructor — Erning Li
Required Text — none

 

Statistics — Spring 2022

STAT:1020 ELEMENTARY STATISTICS AND INFERENCE (3 s.h.)
Lecture AAA (A11-A14)
Instructor — Robert Ankenmann
Required Text —  ICON DIRECT: De Veaux, Velleman, Bock, Mylab Statistics with Pearson eText for Intro Stats, 5th ed, 2019 (Pearson). ISBN: 978-0135960028

Lecture BBB (B21-B28)
Instructor —  Alex Liebrecht
Optional Text — De Veaux, Velleman, Bock, Intro Stats, 5th ed, 2017 (Pearson). ISBN: 978-0134210223

Section 0001 (stand-alone)
Instructor —  Erning Li
Required Text -- ICON DIRECT: De Veaux, Velleman and Bock, Intro Stats, 5th ed, 2017 (Pearson). ISBN: 978-0134265353

STAT:1030  STATISTICS FOR BUSINESS (4 s.h.)
Lecture BBB (B03-B28)
Instructor — Blake Whitten
Required Text — Moore, McCabe, Duckworth & Sclove, The Practice of Business Statistics, 3rd ed, 2011. ISBN 978-1429-2425-30

STAT:2010  STATISTICAL METHODS AND COMPUTING (3 s.h.)
Section 0001 (A11-A13)
Instructor — Erin Post
Required Text — Moore, The Basic Practice of Statistics, 8th ed (Freeman). ISBN: 978-1319042578

STAT:2020  PROBABILITY AND STATISTICS FOR THE ENGINEERING AND PHYSICAL SCIENCES (3 s.h.)
Lecture AAA (A11-A16) 
Instructor — Matt Bognar
Required Text — Montgomery and Runger, Applied Statistics and Probability for Engineers, 7th ed, 2019 (Wiley- also available by eBook). ISBN: 978-1119585596

Lecture BBB (B21-B24) 
Instructor — Matt Bognar
Required Text — Montgomery and Runger, Applied Statistics and Probability for Engineers, 7th ed, 2019 (Wiley- also available by eBook). ISBN: 978-1119585596

STAT:3101 INTRODUCTION TO MATHEMATICAL STATISTICS II (3 s.h.)
Section 0001
Instructor — N.D. Shyamalkumar
Required Text — Hogg, Tanis and Zimmerman, Probability and Statistical Inference, 10th ed (Pearson- also available by ebook). ISBN: 978-0135189399

Section 0004
Instructor — Jian Huang
Required Text — Hogg, Tanis and Zimmerman, Probability and Statistical Inference, 10th ed (Pearson- also available by ebook). ISBN: 978-0135189399

STAT:3200  APPLIED LINEAR REGRESSION (3 s.h.)
Section 0002
Instructor — Joyee Ghosh
Optional Text—Fox, Applied Regression Analysis & Generalized Linear Models, 2nd ed (Sage).  ISBN: 978-0761930426

STAT:3210 EXPERIMENTAL DESIGN & ANALYSIS (3 s.h.)
Section 0001
Instructor — Erning Li
Optional Text — Montgomery, Design and Analysis of Experiments, 10th ed, 2020 (Wiley). ISBN: 978-1119722106

STAT:3510 BIOSTATISTICS (3 s.h.)
Lecture BBB (B21-B24)
Instructor — Dale Zimmerman
Required Text — Samuels, Witmer and Schaffner, Statistics for the Life Sciences, 5th ed (Pearson).   ISBN: 978-0321989581

Lecture CCC (C31-C38)
Instructor — Matt Bognar
Required Text -- Samuels, Witmer and Schaffner, Statistics for the Life Sciences, 5th ed (Pearson).   ISBN: 978-0321989581

STAT:4101 MATHEMATICAL STATISTICS II (3 s.h.)
Section 0001
Instructor — Lan Luo
Required Text — Hogg, McKean & Craig, Introduction to Mathematical Statistics, 8th ed (Pearson- also available by eBook). ISBN: 978-0134686998

Section 0002
Instructor — Boxiang Wang
Required Text — Hogg, McKean & Craig, Introduction to Mathematical Statistics, 8th ed (Pearson- also available by eBook). ISBN: 978-0134686998

STAT:4580  DATA VISUALIZATION AND DATA TECHNOLOGIES (3 s.h.)
Section 0001
Instructor — Luke Tierney
Recommended Texts: Healy, Data Visualization: A Practical Introduction, 2018 (Princeton University Press). ISBN: 978-0691181615

Murrell, Introduction to Data Technologies, 2009 (Chapman & Hall/CRC Computer Science & Data Analysis). ISBN: 978-1420065176

Wickham and Grolemund, R for Data Science, 2017 (O’Reilly Media). ISBN: 978-1491910399

Wilke, Fundamentals of Data Visualization, 2019 (O’Reilly Media). ISBN: 978-1492031086

STAT:5101  STATISTICAL INFERENCE II (3 s.h.)
Section 0001
Instructor — Kung-Sik Chan
Required Text —  Casella & Berger, Statistical Inference, 2nd ed (Cengage Learning). ISBN: 978-0357753132

STAT:5120  MATHEMATICAL METHODS FOR STATISTICS (3 s.h.)
Section 0001
Instructor —Elias Shiu
Required Text —  Rudin, Principles of Mathematical Analysis, 3rd ed, (McGraw Hill). ISBN: 978-0070856134

STAT:5201 APPLIED STATISTICS II (3 s.h.)
Section 0001
Instructor — Dale Zimmerman
Required Text —  Oehlert, A First Course in Design and Analysis of Experiments, 2010 (Freeman). ISBN: 978-0716743781

STAT:6560 APPLIED TIME SERIES ANALYSIS (3 s.h.)
Section 0001
Instructor — Osnat Stramer
Required Text — Cryer and Chan, Time Series Analysis with Applications in R, 2nd ed (Springer Verlag). ISBN: 978-0387759586

STAT:6970  TOPICS IN STATISTICS (3 s.h.)
Section 0001
Instructor — Aixin Tan
Instead of one textbook, we will sample materials from several books and a list of seminal papers. A few books we will extract learning materials from are: The Bayesian Choice (from Decision-Theoretic Foundations to Computational Implementation) by Robert, Christian. Springer, 2007 [free access to ebook through UI library.]; Handbook of Markov Chain Monte Carlo edited by Brooks, Gelman, Jones and Meng. Chapman and Hall/CRC, 2011 [free access to most chapters.]; and Pattern Recognition and Machine Learning by Bishop, Christopher. Springer, 2006. [free online access].

STAT:7101 ADVANCED INFERENCE II (3 s.h.)
Section 001
Instructor — Jian Huang
Required Text —van der Vaart, Asymptotic Statistics, 1998 (Cambridge University Press - also available by eBook). ISBN: 978-0521784504

STAT:7400 COMPUTER INTENSIVE STATISTICS (3 s.h.)
Section 0001
Instructor — Luke Tierney
Recommended Texts — Givens and Hoeting, Computational Statistics, 2nd ed, 2012 (Wiley). ISBN: 978-0470533314

Matloff, The Art of R Programming: A Tour of Statistical Software Design, 2011 (No Starch Press). ISBN: 978-1593273842

Monahan, Numerical Methods of Statistics, 2nd ed, 2011 (Cambridge University Press). ISBN: 978-0521191586

STAT:7500 STATISTICAL MACHINE LEARNING
Section 0001
Instructor - Jian Huang
Required Text — none