NUST eLearning

Learning Outcomes

Upon successful completion of the course, the student should be able to:

• Use Artificial Intelligence (AI) techniques to map problem domains into suitable models for effective and efficient processing;
• Evaluate the efficiency and applicability of different AI concepts, models, and algorithms in a specific problem domain;
• Implement AI algorithms.

Course Content

Search Algorithms

• Search, Beyond classical search and Adversarial search
• Constraint Satisfaction and Optimisation

Knowledge, Reasoning and Planning

• Knowledge Representation and Inference
• Classical Planning
• Markov Decision Processes

Machine Learning

• Reinforcement Learning
• Deep Learning

This course, Auditing 310 (GAU711S) is designed to give you a comprehensive understanding of the audit process, from obtaining evidence to reporting on financial statements. You will learn the auditor's responsibilities, key audit procedures, and how to evaluate audit evidence, both in manual and computerized environments.

The course covers several key areas, including:

• Audit Evidence: You'll understand how auditors collect evidence, the hierarchy of evidence, and how to assess financial statement assertions.
• Test of Controls: You'll explore how auditors test controls across various business cycles like revenue, payments, and payroll, in both manual and automated settings.
• Internal Auditing: You'll dive into the role and responsibilities of internal auditors, as well as the relationship between internal and statutory audits.
• Substantive Procedures & Sampling: Learn how to design and apply substantive audit procedures and how to use sampling techniques to test audit items.
• Audit Reporting: The course will cover how auditors structure reports, including unmodified and modified opinions, and how to handle matters like fraud or going concern issues.

Additionally, the course introduces you to modern developments in the auditing world, such as the use of digital technology and sustainability audits.

Assessments are hands-on, with face-to-face tests to assess your understanding of the material. Overall, this course prepares you for a career in auditing by providing both theoretical knowledge and practical skills needed in the field.

The course offers students an introduction to basic psychological concepts needed in the Human Resources field.

Welcome to the world of Biostatistics. This course will help you understand public health research in terms of research designs, measures of disease risk, statistical modeling with public health data and survival analysis. We introduce to a family of models called GLMs, Generalised Linear Regression models such as logistic and Poisson regression models. Of importance will be the estimation of parameters, making appropriate inferences on these parameters and the explanatory variables. Model diagnostics will be delt with in detail to enable you to assess the goodness of fit of your models before you publish results that are based on these models. Hope you will enjoy the course!!!

This course is designed to enable students to acquire and apply fundamental cartographic principles in map design. Students should be able to understand the principles of map composition and design, as well as to describe the developments and trends in modern cartography and visualisation.

Enrollment key: CTM611S

Hi {firstname},

Welcome to the Classroom and Workshop Management in TVET (CWC510S) course! My name is Dr Kristofina Junius, facilitator, along with Ms Brenda Kahuikee, administrative support for this course.

Upon completion of this course, you should be able:

• examine the different definitions of classroom and workshop management.
• analyse various theories of classroom and workshop management.
• discuss trainees' profiles about their personal beliefs and styles of classroom and workshop management.
• investigate different strategies to improve classroom and workshop management.
• implement action plans for effective classroom and workshop management.

You will have the opportunity to work on your own as well as connect with your peers to share knowledge and experiences.

The course starts on Monday, 12 February 2023 and runs through until 17 May 2023.  

The course aims to introduce aspects of trauma systems, assist the student in appraising current treatment guidelines for specific trauma cases and introduce the application of medical imaging within the emergency medical care setting.