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    • BACHELOR OF SCIENCE IN INDUSTRIAL CHEMISTRY
      • SEM 1 2025/2026 AY SCI 306: Agrobased Industries and Industrial Processes
      • SEM 1 2025/2026 AY SCI 304: Processing of Inorganic Industrial Chemicals
      • SEM 1 2025/2026 AY SCI 201: Introduction to Industrial chemistry
      • SEM 1 2025/2026 AY SCI 306: Chemical Process Control and Instrumentation
      • SCH 101: Introduction to Inorganic Chemistry
      • SCH 402: Heterocyclic Chemistry
    • DIPLOMA IN AGRICULTURAL EXTENSION
      • Introductory Economics
      • INTRODUCTION TO SOIL SCIENCE DIPSEM 2 20212022
      • AGRICULTURAL BOTANY SEM 2 20212022
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      • PRINCIPLES OF ANIMAL NUTRITION SEM 2 20212022
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    • BACHELOR OF SCIENCE IN STATISTICS
      • STA 420: Project in Statistics
      • STA 408: Design and Analysis of Experiments II
      • Bayesian Inference and Decision Theory
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      • Principles of Statistics
      • Advanced Calculus / Applied Calculus
    • DOCTOR OF PHILOSOPHY IN EDUCATION
      • PRINCIPLES OF MARKETING
      • BIOSTATISTICS and COMPUTING ii
      • Human anatomy 2
      • BES 801 Quantitative Methods S1 25/26 AY
      • BET 803 Macroeconomics I S1 25/26 AY
      • BET 801 Microeconomics I S1 25/26 AY
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  • Courses
    BACHELOR OF SCIENCE IN INDUSTRIAL CHEMISTRY
    • SEM 1 2025/2026 AY SCI 306: Agrobased Industries and Industrial Processes
    • SEM 1 2025/2026 AY SCI 304: Processing of Inorganic Industrial Chemicals
    • SEM 1 2025/2026 AY SCI 201: Introduction to Industrial chemistry
    • SEM 1 2025/2026 AY SCI 306: Chemical Process Control and Instrumentation
    • SCH 101: Introduction to Inorganic Chemistry
    • SCH 402: Heterocyclic Chemistry
    DIPLOMA IN AGRICULTURAL EXTENSION
    • Introductory Economics
    • INTRODUCTION TO SOIL SCIENCE DIPSEM 2 20212022
    • AGRICULTURAL BOTANY SEM 2 20212022
    • INTRODUCTION TO AGRICULTURE SEM 2 20212022
    • PRINCIPLES OF ANIMAL NUTRITION SEM 2 20212022
    • ANIMAL BREEDING AND BIOTECHNOLOGY SEM 2 20212022
    BACHELOR OF SCIENCE IN STATISTICS
    • STA 420: Project in Statistics
    • STA 408: Design and Analysis of Experiments II
    • Bayesian Inference and Decision Theory
    • Operations Research III
    • Principles of Statistics
    • Advanced Calculus / Applied Calculus
    DOCTOR OF PHILOSOPHY IN EDUCATION
    • PRINCIPLES OF MARKETING
    • BIOSTATISTICS and COMPUTING ii
    • Human anatomy 2
    • BES 801 Quantitative Methods S1 25/26 AY
    • BET 803 Macroeconomics I S1 25/26 AY
    • BET 801 Microeconomics I S1 25/26 AY
  • ODeL

      • Course info

      Medical microbiology and Immunology

      Semester I 2024/2025

      • Teacher: Mr. Peter Musyoki

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