NUST eLearning

This is an advanced course in Property valuation. It involves application of valuation principles, appropriate techniques and method to carry out valuation of specialized properties. Topics include Agricultural Valuations, Valuation of Plant and machinery, valuation for compulsory purchase/expropriation, valuation for rating and business valuation techniques.

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.

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!!!

Hi ,

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.  

This course prepares students for entry into the industry as advanced life support (ALS) paramedics. Through supervised real-life patient management in pre-hospital and hospital environments, students will apply advanced cognitive and psychomotor skills, building a solid foundation of practical experience. The course aims to prepare the student for entry into industry as an advanced life support paramedic through real-life patient management and applying advanced cognitive and psychomotor skills and procedures under the supervision and guidance of registered advanced life support paramedics and clinicians. The course will further enable the student to build an experience database from which to work once employed in industry.  

This course aims to prepare the student for entry into industry through the real life management of patients and application of learnt cognitive and psychomotor skills and procedures under the supervision and guidance of registered practitioners.  The course will further enable the student to build an experience database from which to work once employed in industry.