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AMU: CIT82D1 Machine Learning

AMU

Machine Learning


This course outline provides a framework for a comprehensive introduction to machine learning, covering both theoretical concepts and practical applications.

Enrollment in this course is by invitation only

About This Course

Imagine a society in which machines, like people, are able to comprehend and respond to their surroundings. Imagine a world in which computers are able to see, hear, and speak - a realm of possibilities unimaginable to us. This is the realm of machine learning, and in CIT82D1, you hold the key to unlocking its potential.

The course equips students with the essential knowledge and practical skills to navigate the exciting world of machine learning. Gain a solid understanding of core concepts like supervised and unsupervised learning, delve into powerful algorithms like linear regression and decision trees, and explore the applications of machine learning across diverse domains.

Requirements

The students are expected to have basic knowledge of computer science and mathematics, including familiarity with basic programming concepts and statistical methods. Moreover, knowledge of python programming is preferrable.

Course Staff

Course Staff Image #1

Dr. Mohammed Abebe (Ph.D.)

Hi, warm welcome to you all. I'm Dr. Mohammed Abebe, your guide on this transformative journey. I live in the beautiful city of Arba Minch (the 40 Springs), Ethiopia. I was born on June 1, 1985, in a city called Ukie Estate Farm, East Wollega, Oromia, Ethiopia. I completed my elementary school at Ukie Elementary School, high school at Nekemte Derge Senior Secondary School, and my preparatory education at Nekemte Comprehensive High School. I graduated with a B.Sc. in Computer Science and Information Technology from Arba Minch University, with an MSc Degree in Computer Science from Addis Ababa University. I have a doctorate degree in Computer Engineering with special focus in Machine Learning from Dokuz Eylül University, Izmir-Turkey. I have been employed and working as a lecturer at Arba Minch University, Ethiopia, since 2007. My research interests include natural language processing, artificial intelligence, machine learning, deep learning, and data analytics.

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Staff Member #2

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Frequently Asked Questions

Do I need to buy a textbook?

No, a free online version of Chemistry: Principles, Patterns, and Applications, First Edition by Bruce Averill and Patricia Eldredge will be available, though you can purchase a printed version (published by FlatWorld Knowledge) if you’d like.

Question #2

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  1. Course Number

    CIT82D1

  2. Classes Start

  3. Classes End