NUST eLearning

The course is broken down into two interrelated topics: algebra and trigonometry.

Algebra is a mathematical “language” that generalizes arithmetic by using letters to represent numbers and state arithmetic rules and conclusions so that they will be valid for many or all numbers.

Trigonometry is the branch of mathematics that studies relationships involving lengths and angles.

Analytical Chemistry involves separating, identifying, and determining the relative amounts of the components in a sample of matter. Qualitative analysis reveals the chemical identity of the species in the sample. Quantitative analysis establishes the relative amount of one or more of these species, or analytes in numerical terms. Qualitative information is required before a quantitative analysis can be undertaken.

This course is a broad introduction to this interdisciplinary field based on processes and colloidal phenomena at interfaces, viz. gas-liquid, gas-solid, liquid-liquid, liquid-solid and solid-solid. Taking a genuinely applied approach, with applications drawn from a wide range of industries, we will attempt to meet your demands of working in the field. The course will, therefore introduces you to a wide range of real industrial examples. These examples range from water treatment through to soil management as well as examples taken from the coatings, detergency, ore flotation and photographic industries. To understand the course better, some of the more demanding mathematical derivations will be treated in a more subtle manner. With carefully structured units, starting with an introduction, and practice questions, this course is invaluable for undergraduates like you taking a first course on colloid and surface chemistry.

This course aims at enabling students to solve mathematical problems using numerical approaches, specifically considering numerical quadrature, ordinary/partial differential equation examples and numerical optimisation models.

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.