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Academic Year 2023/2024
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 118: Stochastic Processes and Regression.
•
Academic Year 2022/2023
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 118: Stochastic Processes and Regression.
•
Academic Year 2021/2022
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 118: Stochastic Processes and Regression.
•
Academic Year 2020/2021
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 118: Stochastic Processes and Regression.
•
Academic Year 2019/2020
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 118: Stochastic Processes and Regression.
•
Academic Year 2018/2019
o
CMS/ACM/EE 117: Probability and Random Processes
o
ACM 216: Markov Chains, discrete stochastic processes and applications
•
Academic Year 2017/2018
o
CMS/ACM/EE 117: Probability and Random Processes
o
ACM 216: Markov Chains, discrete stochastic processes and applications
•
Academic Year 2016/2017
o
CMS/ACM/EE 117: Probability and Random Processes
o
ACM 216: Markov Chains, discrete stochastic processes and applications
•
Academic Year 2015/2016
o
CMS/ACM 116: Introduction to stochastic processes and modeling.
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
•
Academic Year 2014/2015
o
ACM/EE 116: Introduction to stochastic processes and modeling.
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
•
Academic Year 2013/2014
o
ACM/EE 116: Introduction to stochastic processes and modeling.
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
•
Academic Year 2012/2013
o
ACM 216: Markov Chains, discrete stochastic processes and applications.
o
ACM 217: Stochastic Differential Equations and applications.
•
Academic Year 2011/2012
o
ACM 95/100b: Introductory methods of applied mathematics.
•
Academic Year 2010/2011
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ACM/EE 116: Introduction to probability and random processes with applications.
o
ACM 270: Advanced Topics in Optimization.
•
Academic Year 2009/2010
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ACM/EE 116: Introduction to probability and random processes with applications.
o
ACM 113: Introduction to Optimization
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Academic Year 2008/2009
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ACM/EE 116: Introduction to probability and random processes with applications.
o
ACM 216: Markov Chains and Martingales.