DEPARTMENT OF ANIMAL SCIENCE

COURSE CONTENT: ADVANCED BIOMETRY FOR ANIMAL SCIENCES (MAS 510)

 COURSE COORDINATOR:
            DR S.M. MAKUZA

 Lectures: 70 hrs

       A.   A review of Experimental Designs and Analysis of Variance.
                           (5 hrs) DR S.M. MAKUZA

 1.   Experimental Designs: Emphasis on Completely Randomized,
      Randomized Complete Block, Latin-Square, Split-Plot, Cross-
      Over and Incomplete Block Designs.  (16 hrs)

     Design Concepts - experimental units, replication, randomization,
     blocking, restricted randomization, design selection, balanced
     designs. (10 hrs)

 2.   Analysis of  Variance: Emphasis on Linear Models for
      Partition of Variation, Partition of Variation, General
      Hypothesis Testing, Estimation and Comparison  of treatment
      means.                  (13 hrs)  DR F.N. MHLANGA

 B.   Regression Techniques. (16 hrs) DR K.D. DZAMA

     1.  Review of matrix algebra
     2.  Review of simple linear regression techniques.
     3.  Introduction  to multiple  regression  procedures  (in
              matrix notation).
     4.  Concept of Design Matrix and its use in the analysis
              of variance, mean estimation mean comparisons.
     5.  Analysis of covariance
     6.  Introduction to fiting non-linear models.

 C.  Introduction to repeated measurements models.  (5hrs)
                               DR P.N. MHLANGA

 D.  Introduction to Sampling Techniques. (5 hrs)

 Practicals: 30 hrs
 E.    Problem Solving (in class).

 F.    Statistical Computing.
1.   Introduction to Statistical Computer packages (SAS).
     2.   Introduction to Fortran programming.

 MSC (ANIMAL SCIENCE) – 1997/98

 ADVANCED BIOMETRY FOR ANINAL SCIENCE (MAS 510)

 Contact Hours:    70 hrs of lectures
                   30 hrs of practicals

 Course Coordinator. DR S.M. MAKUZA

 Prerequisites: Biometry (CR206) or Equivalent

 OBJECTIVES

The course will cover in-depth experimental designs and data
analysis - with more emphasis on analysis of variance and
regression techniques. The practicals will include introductions
to the use of statistical computer packages and to Fortran programming.

 Course Structure

 Lectures:                              70 hrs
 Practicals:                            30 hrs
 Term Tests:                          4  tests
 Final Examination:            1 x 3 hr written examination.

 Course Assessment

 Continuous Assessment Grades 30 - of Final Grade
 (Practicals, Assignments, Term Tests)

 Final Grades

 Continuous Assessment                    30 %
 Final Written Examination                70 %


Back to Animal Science Menu                                                     Back to Top of Page

Other Menus:
Agriculture Economics
Agricultural Engineering
Crop Sciences
Soil Sciences

Home