
- Teacher: Francois KARANGUZA
- Teacher: Gaudence NIRERE

- Teacher: Jean Pierre NZEMERIMANA
- Teacher: Felix Urimubenshi

This module aims to provide a comprehensive understanding of project management principles applied to the Electronics and Telecommunication, by enabling trainees to successfully navigate the industry’s unique challenges and complexities. By the end of this module, trainees will be able to apply basic project management skills in conducting the preliminary feasibility studies, planning, managing time, scope, cost and resources, tracking the whole execution process, managing and adapting to changes, executing product test plans, conducting project meetings, reporting progress, preparing documents, presenting deliverables, and undertaking project closeout.
- Teacher: Jean De Dieu Uwasekuru Gisa

This module describes the knowledge, skills and attitudes required to apply Machine Learning technology when developing predictive models. At the end of this module, You will be able to describe Machine Learning basics and terminologies, perform data pre-processing, develop Machine Learning models, apply model evaluation techniques and deploy the model.
- Teacher: IRANKUNDA INNOCENT
- Teacher: Florentine MUKAMANA
- Teacher: Jean Pierre Nyakuri

The purpose of learning Telecommunication networks planning and optimization is to gain the knowledge, skills, and the right attitude necessary to design, deploy, and manage efficient and high-performance communication infrastructures. This includes mastering network design principles, resource optimization techniques, capacity planning, and quality of service management, cost efficiency considerations, and staying abreast of emerging technologies. The goal is to ensure the reliable, secure, and cost-effective operation of Telecommunication networks while continually adapting to advancements in the field.
- Teacher: Theophile BIRAMAHIRE
- Teacher: Arcade NSHIMIYIMANA
- Teacher: Jean Pierre NZEMERIMANA
- Teacher: Felix Urimubenshi

This module describes the knowledge, skills and attitudes required to apply signal processing techniques. At the end of this module, trainees will be able to understand fundamental concepts like Fourier analysis and digital filtering emphasizing on the use of software platforms like MATLAB and Python libraries among others to implement, modify, analyze and synthesize real - time processing algorithms with practical experimentation. It aims to integrate cutting-edge technologies such as Machine Learning and deep learning into signal processing while developing a strong basis in mathematics.
- Teacher: Theophile BIRAMAHIRE
- Teacher: Gedeon Bitegetsimana
- Teacher: Venuste HAGENIMANA
- Teacher: Jean De Dieu Uwasekuru Gisa
