Course ID:
Course Code & Number
MATH 104
Course Title
Mathematics II
Level
BS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 5 ECTS Credits
Year of Study:
Sophomore
Semester:
Fall
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 103
Co-requisites: NONE
Catalog Description
Analytic Geometry in R2 and R3. Functions of one and several variables: Limit, continuity and differentiation. Chain rule, implicit differentiation. Differential calculus, optimization, Lagrange multipliers. The definite integral. The indefinite integral. Logarithmic and exponential functions. Techniques of integration: Integration by substitution, integration by parts, by partial fractions.
Course Objectives
Software Usage
Course Learning Outcomes
Upon succesful completion of this course, a student will be able to
1. Explain the fundamental statistical concepts covered throughout the course.
2. Use graphical and numerical methods to summarize data.
3. Calculate the probabilities of events under natural assumptions on the population.
4. Analyze data sets to make inference about characteristics of a population.
5. Apply statistical techniques in problems of interest and obtain useful conclusions.
6. Use SPSS program to analyze data sets
Learning Activities and Teaching Methods:
Telling/Explaining
Discussion/Debate
Questioning
Reading
Peer Teaching
Inquiry
Collaborating
Oral Presentations/Reports
Web Searching
Assessment Methods and Criteria:
Test / Exam
Lab Assignment
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
Required Reading
1. Sirkin, R. M. (2006). Statistics for the social sciences (3rd ed.). Thousand Oaks, CA:Sage.
Grading
Final Exam - 40%
Quiz - 10%
Lab Work - 30%
Writing assignments (Oral, Poster) - 20%
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Debate | 10 |
| Observation | 5 |
| Report on a Topic | 18 |
| Case Study Analysis | 20 |
Course & Program Learning Outcome Matching: