A.1 | Understanding Linear Models Multiple Normal Distribution, Related Distributions and Independence. |
A.2 | Understand the distributions of quadratic formulas, the concept of regression, correlation, design models, and models. |
A.3 | The student will be familiar with the simple linear model in terms of estimation and hypothesis tests |
A.4 | The student will be able to use ready-made computer programs in practical application. |
In. (Mental skills)
B.1 | The student should be able to solve linear models Multiple normal distributions and related distributions and independence. |
B.2 | The student should be able to deal with quadratic formulas, the concept of regression, correlation, design models, and models. |
B.3 | The student should be able to compare between simple linear models and hypothesis tests. |
B.4 | To be able to use software to infer scientific indicators. |
c. Practical & Professional Skills)
C.1 | Ability to use linear models Multiple normal distribution, related distributions and autonomy. |
C.2 | Ability to approach quadratic formulas, the concept of regression, correlation, design models, and models. |
C.3 | Ability to compare between simple linear models and hypothesis tests |
C.4 | Ability to use ready-made computer programs in linear models. |
W. Generic and transferable skills)
D.1 | Click to use appropriate mathematical methods to solve linear equations. |
D.2 | Ability to use ready-made computer programs in relation to linear algebra. |
D.3 | Ability to grasp the concept of correlation, regression, design models, and models of variance components theoretically and practically. |
Teaching and learning methods
Lectures
· Exercises
· Ready-made statistical programs
Methods of assessments
(Assessment table)
Rating No. | Evaluation methods | Evaluation Duration | Evaluation weight | Percentage | Rating Date (Week) | Reviews |
First Assessment | Midterm exam |
| 20 | 20% | 7 |
|
Second Assessment | Half Exercises |
| 10 | 10% |
|
|
Third Assessment | Second midterm exam |
| 20 | 20% | 14 |
|
Fourth Assessment | Final Exam |
| 50 | 50% | 16 |
|
Total | 100 degree | 100% | ||||
(Course contents)
Scientific topic | Number of Hours | Lecture | laboratory | Exercises | Number of weeks |
Mathematical concepts | 5 | 3 |
| 2 | 1 |
Multiple normal distribution | 10 | 6 |
| 4 | 2 |
Distributions of quadratic formulas | 10 | 6 |
| 4 | 2 |
Simple Linear Model | 10 | 6 |
| 4 | 2 |
General Linear Model | 10 | 6 |
| 4 | 2 |
Applications of the General Linear Model | 10 | 6 |
| 4 | 2 |
Design Models Contrast Component Models | 15 | 10 |
| 5 | 3 |
(References)
Bibliography | Publisher | Version | Author | Where it is located |
Rapporteur notes | Course Instructor's Memoirs |
|
|
|
Textbooks | Duxpury Press. | Theory and Applications of the linear Models | F. A.Graybill | Library |
Help Books | Richard D. Irwin, INC. | Applied Linear Statistical Models | J. Neter& W. Wasserman | Library |