Currently teaching [at Mercyhurst University]:
CIS 150, Intro to Data Science, 3 credits
CIS 471, Machine Learning, 3 credits
CIS 571, Machine Learning [Graduate Course], 3 credits
CIS 501, Probability and Statistics, 3 credits
Courses taught [at Mercyhurst University]:
CIS 100, Intro to Computer Science, 3 credits
CIS 150, Intro to Data Science, 3 credits
CIS 280, Data Visualization and Communication, 3 credits
CIS 580, Data Visualization, 3 credits [Graduate course]
CIS 352, Big Data Analytics, 3 credits
CIS 150, Intro to Data Science, 3 credits
CIS 501, Probability and Statistics, 3 credits, Fall 2022 (Online-Asynchronous - Mini 2)
MATH 500, Calculus Applications in Machine Learning, 3 credits
CIS 510, Algorithm Development, 3 credits
CIS 551, Big Data Analytics, 3 credits
Courses taught [at Oakland University]*:
MTH 1554, Calculus I, 4 credits, Winter 2022 (Online-Synchronous until Jan 31)
MTH 1555, Calculus II, 4 credits, Winter 2022 (Online-Synchronous until Jan 31)
MTH 1555, Calculus II, 4 credits, Fall 2021
MTH 2775, Linear Algebra, 4 credits, Fall 2021
Courses taught [at Wayne State University]*:
MAT 2250, Elementary Linear Algebra, 3 credits, Spring/Summer 2021 (Online-Synchronous - Instructor/Peer Mentor)
STA 2210, Probability and Statistics, 4 credits, Winter 2021 (Online-Synchronous)
STA 2210, Probability and Statistics, 4 credits, Fall 2020 (Online-Synchronous)
MAT 2010, Calculus I, 4 credits, Winter 2020 (Online-Synchronous post pandemic)
MAT 1800, Elementary Functions, 4 credits, Fall 2019
MAT 1800, Elementary Functions, 4 credits, Winter 2019
MAT 1050, Algebra with Trigonometry, 5 credits, Fall 2018
MAT 2020, Calculus II, 4 credits, Spring/Summer 2018
MAT 1050, Algebra with Trigonometry, 5 credits, Winter 2018
MAT 1800, Elementary Functions, 4 credits, Fall 2017
STAT 1020, Elementary Statistics, 3 credits, Spring/Summer 2017
MAT 1800, Elementary Functions, 4 credits, Winter 2017
* All detailed course evaluations are available upon request.
Miscellaneous (teaching experience):
MAT 5992, Teaching Mathematics in College, Fall 2016 (Wayne State University): A semester-long training course focusing on presentation, test-writing, grading, classroom management, and use of technology.
GTA duties for instructors, Winter 2016 (The University of British Columbia):
(i) Differential Calculus with Applications to Physical Sciences and Engineering (MAT 100, Chayne Planiden and Edward Butz),
(ii) Advanced Statistical Modelling (STAT 410, John Braun).
GTA duties for instructors, Fall 2015 (The University of British Columbia):
(i) Calculus I for Business, Management and Economics (MATH 116, Jim Nastos)
(ii) Precalculus (MATH 125, Qiduan Yang)
GTA duties for instructors, Winter 2015 (The University of British Columbia) :
(i) Integral Calculus with Applications to Physical Sciences and Engineering (MAT 101, Chayne Planiden)
(ii) Calculus II for Management and Economics (MAT 142, Qiduan Yang)
Final exam duties, Fall 2014 (The University of British Columbia) - Irving K. Barber School of Arts and Sciences, The University of British Columbia.