- Teacher: Dr. Yemi-Peters Victoria
This course discuss Topics in Design and Analysis of Algorithms
- Manager: Sunday Adewumi
Technologies for learning, such as Moodle, have proliferated and their use is now pervasive. More and more institutions are adopting some form of technology in teaching and learning. Even those yet to do so hold a positive view of its use. Yet, many who have, struggle to add value to the learning process with its use. Many feel that use of technology seems to add little value to their practice and sometimes is actually a hindrance or a distraction to learning. Thus, even some open and distance learning (ODL) institutions can’t seem to fully embrace technology for their course offerings. One reason for the frustration may lie in the focus on the tool rather than the principles of best practice in teaching and the misalignment of learning design and technology choices. In this presentation, we argue that learning design should drive technology choices. In order to use technology effectively for teaching and learning, educators need to ask basic questions about the classroom:
- What do we want to do?
- With what goal and objectives?
- What outcomes are desired?
The answers to
such questions will determine what tools are needed to accomplish what is
desired. Technology integration will therefore align with the learning design.
Hardly can any field of study exist without the application of statistical knowledge daily. In management and social sciences disciplines for instance, the knowledge of statistics is required on issues regarding; head counts, decision making, staffing, budgeting, payroll, planning, forecasting, research, hypothesis testing and correlation studies. This made social scientists to pick interest in statistical analysis. Therefore, this course aims to expose undergraduate students to the introductory aspects of statistics. Basically, the two major branches of statistics are descriptive and inferential statistics. However, this course shall focus on descriptive statistics which deals with matters regarding; frequency distribution, class mark, class boundary, measures of central tendency, range, inter-quartiles/percentiles, variance, mean deviation, standard deviation, charts and pictograph.
- Teacher: Dr. Joseph Adeshola A.