Marko Samara

Mail code: 1804Campus: Tempe

Marko Samara received his master’s degrees in mathematics and in applied statistics, as well as his Ph.D. in mathematics, all from The Ohio State University, where he researched stochastic processes and models in polymer physics. His main areas of interest are probability, stochastic processes and statistics. Apart from ASU, Samara taught at Georgia State (Atlanta, GA), The Ohio State (Columbus, OH), SanfordBrown College (Columbus, OH) and Belgrade Polytechnic (Belgrade, Serbia). Throughout his career, Samara has taught a wide range of courses, including graduate courses in probability theory, applied statistics, and programming courses in R and SAS, as well as various undergraduate courses in calculus, differential equations, linear algebra, probability, applied statistics and mathematical statistics. Most recently, Samara has been teaching data science classes. He coauthored Probability and Statistics; Theory and Examples, a textbook in Serbian, with Prof. Radmila Zarkovic. Besides teaching, Marko enjoys supervising undergrads in their research/honors projects.
https://math.la.asu.edu/~samara
Ph.D. Mathematics, The Ohio State University M.S. Applied Statistics, The Ohio State University M.S. Mathematics, The Ohio State University
Courses
2022 Fall
Course Number  Course Title 

DAT 402  Machine LearningData Science 
DAT 402  Machine LearningData Science 
DAT 300  Math Tools for Data Science 
DAT 402  Machine LearningData Science 
DAT 300  Math Tools for Data Science 
2022 Summer
Course Number  Course Title 

DAT 402  Machine LearningData Science 
DAT 401  Stat Model Inference Data Sci 
DAT 402  Machine LearningData Science 
DAT 401  Stat Model Inference Data Sci 
2022 Spring
Course Number  Course Title 

DAT 401  Stat Model Inference Data Sci 
DAT 402  Machine LearningData Science 
DAT 401  Stat Model Inference Data Sci 
DAT 402  Machine LearningData Science 
DAT 300  Math Tools for Data Science 
DAT 300  Math Tools for Data Science 
2021 Fall
Course Number  Course Title 

DAT 301  Exploring Data in R and Python 
DAT 300  Math Tools for Data Science 
DAT 402  Statistical Learning 
DAT 301  Exploring Data in R and Python 
DAT 300  Math Tools for Data Science 
2021 Spring
Course Number  Course Title 

DAT 300  Math Tools for Data Science 
STP 499  Individualized Instruction 
2020 Fall
Course Number  Course Title 

DAT 300  Math Tools for Data Science 
DAT 401  Stat Model Inference Data Sci 
DAT 301  Exploring Data in R and Python 
2020 Spring
Course Number  Course Title 

STP 494  Special Topics 
STP 425  Stochastic Processes 
STP 421  Probability 
STP 499  Individualized Instruction 
2019 Fall
Course Number  Course Title 

STP 494  Special Topics 
STP 429  Experimental Statistics 
STP 425  Stochastic Processes 
2019 Summer
Course Number  Course Title 

STP 421  Probability 
MAT 275  Modern Differential Equations 
2019 Spring
Course Number  Course Title 

STP 425  Stochastic Processes 
STP 493  Honors Thesis 
STP 429  Experimental Statistics 
STP 427  Mathematical Statistics 
2018 Fall
Course Number  Course Title 

STP 421  Probability 
STP 427  Mathematical Statistics 
STP 492  Honors Directed Study 
STP 429  Experimental Statistics 
2018 Summer
Course Number  Course Title 

MAT 117  College Algebra 
STP 421  Probability 
2018 Spring
Course Number  Course Title 

STP 425  Stochastic Processes 
STP 421  Probability 
STP 427  Mathematical Statistics 
2017 Fall
Course Number  Course Title 

STP 421  Probability 
STP 420  Introductory Applied Statistic 
MAT 275  Modern Differential Equations 
MAT 117  College Algebra 
STP 420  Introductory Applied Statistic 