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Search results: 948

Lecturer: Dr Venaune Hepute

Category: SCHOOL OF AGRICULTURE AND NATURAL RESOURCE SCIENCES

Culinary Arts 1: Pastry, Bakery and Desserts_S1_2026

This course is about the fundamentals of pastry, bakery and desserts preparation in a commercial environment. It will expose you to important aspects that you need to know to successfully run a catering outlet in a hospitality establishment. However, it should be stressed that this course only covers the theoretical aspects and need to be taught concurrently with the course Applied Culinary Arts 1: Pastry, Bakery and Desserts ACP 610S which solely takes place in the kitchen. Without doing the practical course at the same time, which will apply all the knowledge and skills learned in this course a full comprehension of the course will not be reached. You would agree that you cannot bake “with a book and a pen” as you need to go into a kitchen and really do it.

Lecturer: Ralf Herrgott
Lecturer: Kutemba Tshitukenina

Category: S1_2026_FCHSE_HT

Culinary Arts 3: Advanced Cold Kitchen_S1_2026

To equip the students with all necessary theoretical background information and knowledge to be able to prepare good quality cold kitchen items in a professional and commercial environment. This course introduces students to the theoretical constituent elements of advanced food production in the cold kitchen including butchery.

Lecturer: Ralf Herrgott

Category: S1_2026_FCHSE_HT

Data Management Ethics and Security (DME911S_S1_2026

Data management, ethics and security (DME911S) forms part of the Master of Data Science programme. The course is offered in the first semester. The module can be divided into three parts: data management, ethics and security. The course aims to expose students to advanced concepts in handling large and varied datasets including the design, storage, access, protection, governance, and security.

Lecturer: Dr. Richard Maliwatu

Category: SCHOOL OF INFORMATICS_S1_2026

Data Mining and Machine Learning_S1_2026

Lecturer: Selma Phillemon

Category: SCHOOL OF INFORMATICS_S1_2026

Data Networks_S1_2026

This course aims to provide students with an understanding of the underlying principles as well as the design, implementation and operation of both fixed and wireless networks. The course will also expose students to practical network environments through the configuration and troubleshooting of network topologies using network simulation tools.

Category: S1_2026_FCI_CS

Data Structures and Algorithms 1_S2_2026

Category: Faculty of Computing and Informatics

Data Structures and Algorithms 2_S1_2026

This course is designed to expose the student to advanced data structures and algorithms used to solve complex and computationally intensive problems.

Lecturer: Prof Ambrose Azeta
Lecturer: Riahama Musutua
Lecturer: Steven Tjiraso

Category: Faculty of Computing and Informatics

Database Administration _S1_2026

The aim of the course is to impart knowledge and skills to enable students to manage a DBMS in order to optimise its use, administer users, create an operational database and properly manage the various structures in an effective and efficient manner including performance monitoring, secure databases as well as plan and implement recovery strategies. The course provides a hands-on administrative approach using current relational DBMSs.