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DAMSL-300 Topics in Statistics

Type

Elective

Course Code

DAMSL-300

Teaching Semester

B or C Semester

ECTS Credits

10

Syllabus

Advanced topics in statistics and statistical machine learning

Learning Outcomes

The students will be exposed to advanced statistical methods and algorithms which are in the research frontier of the subject

Student Performance Evaluation

Homework and/or Lab Assignments, Final Exam and/or Project

Prerequisite Courses

Probabilities, Statistics

Navigate to Courses

DAMSL-090 Data Structures

DAMSL-091 Numerical Algorithms

DAMSL-092 Probability Theory

DAMSL-100 Introduction to Data Science

DAMSL-101 Introduction to Machine Learning

DAMSL-102 Mathematical and Computational Statistics

DAMSL-103 BAYESIAN Statistics

DAMSL-104 Applied Linear Regression

DAMSL-188 Applied Data Science

DAMSL-201 Optimization

DAMSL-202 Numerical Analysis

DAMSL-203 Numerical Approximation of DEs

DAMSL-210 Modeling in Physical Sciences

DAMSL-211 Time series analysis

DAMSL-212 Probabilistic Graphical Models

DAMSL-243 Big Data Analytics

DAMSL-267 Knowledge Representation and Reasoning

DAMSL-272 Computer Vision

DAMSL-273 Introduction to Deep Generative Modelling

DAMSL-287 Neural Networks and Learning of Hierarchical Representations

DAMSL-288 Analysis and Modelling of Brain Networks

DAMSL-293 Introduction to Game Theory

DAMSL-300 Topics in Statistics

DAMSL-310 Topics in Data Science

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