This course will introduce students to the basic concept of cryptography, its history, and general applications in the real world. This course serves as a prerequisite to more advanced courses in cyber security. Students will be able to understand basic cryptography concepts and go through real world examples of how cryptography concepts are applied for confidentiality, authentication, and integrity protection.
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.
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.
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.
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.
This course is designed to expose the student to advanced data structures and algorithms used to solve complex and computationally intensive problems.