This comprehensive course introduces the expansive world of AI before diving deep into its most transformative subset: Deep Learning. We'll explore fundamental concepts, build neural networks, and gain practical skills while examining state-of-the-art topics like large language models and generative AI, all while considering their diverse applications and ethical implications. A foundation in calculus and linear algebra is required, with Python experience being a plus. Join us to unlock the power of AI and deep learning!

felix
Dr. Felix Gonda

Assistant Professor, Computer Science
E-mail: uojdeeplearning@gmail.com
Meeting: send an email to schedule a meeting

Click image to download PDF

Lecture (@ Senate Hall in the Administration Building)
Lecture Group A: Monday 1:00-2:00 pm
Lecture Group B: Monday 2:30-3:30 pm

Learning Labs (@ UoJ Computer Lab)
Lab Group A: Thursday 2-3 pm
Lab Group B: Thursday 3-4 pm
Lab Group C: Friday 2-3 pm
Lab Group D: Friday 3-4 pm

X Lab (@ UoJ Computer Lab)
Tuesday, 2pm-4pm

Teaching Fellows
Reeng

Reeng Kuol Reeng
(Laboratory Group A)

Malish

Malish Ben Kenyi
(Laboratory Group A)

Adam

Adam Juma Haruun
(Laboratory Group A)

Deng

Deng Kuol Ajak
(Laboratory Group A)

Nesnea

Nesnea Khadi Silvano
(Laboratory Group B)

Emmanuel

Emmanuel Deng Mei
(Laboratory Group B)

Edmond

Edmond Anthony Mesaga
(Laboratory Group B)

Monica

Monica Ayen Bol
(Laboratory Group B)

Abraham

Abraham Dit Manyang
(Laboratory Group C)

Agar

Agar Marial Riak
(Laboratory Group C)

Ngor

Ngor Wek Wek<
(Laboratory Group C)

James

James Dut Mathok
(Laboratory Group C)

Kuot Chol

Kuot Chol Majok
(Laboratory Group D)

Moses

Moses Luwalla Wani
(Laboratory Group D)

Ayath

Ayath Agany Ayath
(Laboratory Group D)

Kuot

Kuot Jool Aluel
(Laboratory Group D)