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      • CCS 104 Elements of Economics Sem II 25/26 AY (ALL COHORTS)
      • Linear Algebra – G2
      • SEM 1 2025/2026 AY SIT 214: Digital Systems
      • Discrete Mathematics-G2
      • Entrepreneurship and Business Management
      • Differential and Integral Calculus – G1
    • MASTER OF SCIENCE IN STATISTICS
      • Survival Models
      • Bayesian Analysis
      • Stochastic Processes I
      • STA 508: Design and Analysis of Experiments
      • Computational Matrix Analysis
      • Theory of Estimation S1 2526
    • DIPLOMA IN LIBRARY AND INFORMATION STUDIES
      • USERS AND INFORMATION STUDIES
      • DISSEMINATION OF INFORMATION
      • CLASSIFICATION PRACTICAL
      • CATALOGUING PRACTICAL
      • AUTOMATION OF LIBRARIES
      • Facilities planning for libraries and information centres
    • MASTERS OF PUBLIC HEALTH
      • Public Health Law and Ethics
      • Research Methodology
      • Management Sciences
      • Principles of public health
      • Applied epidemiology
      • Applied Biostatistics
    • View all
  • Courses
    BACHELOR OF SCIENCE IN INFORMATION TECHNOLOGY
    • CCS 104 Elements of Economics Sem II 25/26 AY (ALL COHORTS)
    • Linear Algebra – G2
    • SEM 1 2025/2026 AY SIT 214: Digital Systems
    • Discrete Mathematics-G2
    • Entrepreneurship and Business Management
    • Differential and Integral Calculus – G1
    MASTER OF SCIENCE IN STATISTICS
    • Survival Models
    • Bayesian Analysis
    • Stochastic Processes I
    • STA 508: Design and Analysis of Experiments
    • Computational Matrix Analysis
    • Theory of Estimation S1 2526
    DIPLOMA IN LIBRARY AND INFORMATION STUDIES
    • USERS AND INFORMATION STUDIES
    • DISSEMINATION OF INFORMATION
    • CLASSIFICATION PRACTICAL
    • CATALOGUING PRACTICAL
    • AUTOMATION OF LIBRARIES
    • Facilities planning for libraries and information centres
    MASTERS OF PUBLIC HEALTH
    • Public Health Law and Ethics
    • Research Methodology
    • Management Sciences
    • Principles of public health
    • Applied epidemiology
    • Applied Biostatistics
  • ODeL

      • Course info

      SEM 1 2025/ 2026 SCA 201: Quantitative Analysis

      SCA 201: Quantitative Analysis

      • Teacher: Dr. John Kiratu

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