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- Lecturer: Petrina Haufiku

| Welcome | Weekly Content | Discussion Forum |
| Course Learning Outcomes | Reference Sources | Contact Your facilitator |
| Assignments | Course Overview | Study Material |

This course provides a comprehensive overview of business management and leadership principles and practices.
Students will explore key concepts in organizational behaviour, strategic planning, financial management, marketing, and operations management.
The course also emphasizes developing essential leadership skills, such as communication, decision-making, problem-solving, and team building.
Through a combination of lectures, case studies, group discussions, and practical exercises, students will gain the knowledge and skills necessary to succeed in today's dynamic business environment.
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COURSE DESCRIPTION:
Develop enterprise innovative capabilities and implement technological innovation strategies at the enterprise level.
PRE-REQUISITES: Must have completed and passed Bachelor of Business Management degree or its equivalent as may be duly approved

This course provides students with knowledge of the performance management process. Students will enhance their understanding of the relationship between performance management and strategic planning. The course will further provide students with an understanding of the performance appraisal methods, appraisal feedback, conducting Performance interviews, and performance reward systems.

Introduces marketing as a powerful tool to provide value to consumers through innovative products, services, ideas and experiences. Engages in critical discourse of the historical and emerging marketing context through lectures, discussions, critiques and videos. Students will have an opportunity to be trained to acquire the knowledge and develop the mindset needed to become a marketer who provides superior value in the marketplace.
This course will prepare students for advanced research by examining how to plan, conduct and report on empirical investigations with an emphasis on data science within an application domain (e.g., NLP, Finance, Healthcare, Agriculture, and Telecommunications). It will also introduce students to practical but scientific research work, and to encourage independent academic and/or commercial research among students. The overall outcome is to develop novel solutions to data science-related problems and communicate the findings (concepts, designs and techniques) effectively and professionally in accordance with NUST requirements.
Students have to submit three (3) Progress Reports during the year of Thesis, using the link provided.
Due dates are: 17 April, 17 July and 13 November for Report No1, No2 and No3 respectively.
Materials Science 124 (MLS521S) is a core course given to engineering students in the second semester of their first year of study. The course covers the basic concepts that explain material properties based on atomic bonding and crystal structures of solid materials. It explores mechanical, magnetic and electronic properties of materials, as well as highlighting some manufacturing processes to come up with useful components for various applications. It winds up by looking at corrosion and degradation of various engineering applications.

Dear Students, Welcome to this vital and exciting journey into the world of maternal and early childhood nutrition—where science meets compassion, and knowledge translates into lifelong health outcomes.
In this course, we’ll explore how nutrition shapes the earliest stages of life—from the moment of conception through infancy. You’ll learn how physiological changes, nutritional needs, and lifestyle factors intertwine to influence maternal well-being and foetal development. Together, we’ll uncover not only what to teach but how to make it matter—for every mother and child.
This course introduces the students to Mathematical modelling process from formulation to solution. Specifically, it takes the students through essential aspects of Modeling Change, Modelling using Proportionality and Geometric Similarity techniques, Model Fitting and Experimental Modelling.
This course enables the student to solve mathematical models using numerical approaches. Precisely, the course aims at introducing students to more discrete models and nonlinear optimisation problems including non-discrete examples with differential equations.

This course is designed for students pursuing a career in Land Management and related fields. There is no doubt that to be a reliable Land Manager (in whatever aspect of it), basic competencies in Mathematics and Statistics are essential. This course, therefore, deals with those crucial areas of Mathematics and Statistics that are applicable to efficient Land Management and Spatial Science skills.
Today, computers are used in almost all fields of human endeavor wherever data are collected and
analysed. For this reason, certain mathematical topics related to the computer and information
sciences are now being widely studied. To this end, topics covered in this course include the binary
number system, relations and logic circuits, set theory and relations, Boolean algebra and logic gates, combinatorial Analysis.
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.
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Welcome to the Media Ethics in the Digital Age course.
You will agree with me that it is an exciting time to be pursuing your Masters degree. This is because Technology, Social Media et al have changed the way we do things, the way we do journalism, and even our daily lives have been totally submerged in tech stuff, besides other things competing for our attention....
That is why it is important to know how to do stuff the right way.
This course therefore builds on the ethical approaches that are introduced in most undergraduate journalism and media studies courses. Its aim is to broaden students’ knowledge of issues surrounding the new media. The issues discussed include the proliferation of information and misinformation on the Internet, the rise of citizen journalism, and the difficulties regarding the verification of online information.
Welcome to Media Ethics. The aim of this course is to help students become aware of ethical issues in the practice of journalism, appreciate the complex nature of ethics and understand the ethical philosophical approaches that can be applied in solving ethical dilemmas.