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INES LMS
  • User manuals
    Student Guide Staff Guide
  • Courses
    • Semester I
      • MAT213-Mathematical Analysis II
      • LAN 215-Language II
      • STA212-Applied Statistical computing
      • STA211-Inferential Statistics
      • DEM 214-Introduction to Demography
    • Department of Land Survey
      • MSc Thesis
      • URBAN AND REGIONAL PLANNING B
      • PHY8206-Solid and Fluid Mechanics
      • Introduction to Surveying
      • ICT 8102-Introduction to ICT
      • MAT 8205-Linear Algebra and Trigonometry
    • Semester I
      • ECO415-Econometrics II
      • ECOS412-Economic and Social Statistics
      • MON 8731-Monitoring and Evaluation
      • ECON81210 - ENTREPRENEURSHIP
      • STA 8734-Multivariate Analysis
    • Year 2
      • Geospatial Measurement Techniques
      • RSG8415-Remote Sensing
      • ELECTROMAGNETISM AND OPTICS
      • SVY 8416 -Control Surveys and Detail Mapping 2021-2022
      • CPG8312-Computer Programming
      • SVY8313-Geospatial Measurement Techniques
    • View all
  • Courses
    Semester I
    • MAT213-Mathematical Analysis II
    • LAN 215-Language II
    • STA212-Applied Statistical computing
    • STA211-Inferential Statistics
    • DEM 214-Introduction to Demography
    Department of Land Survey
    • MSc Thesis
    • URBAN AND REGIONAL PLANNING B
    • PHY8206-Solid and Fluid Mechanics
    • Introduction to Surveying
    • ICT 8102-Introduction to ICT
    • MAT 8205-Linear Algebra and Trigonometry
    Semester I
    • ECO415-Econometrics II
    • ECOS412-Economic and Social Statistics
    • MON 8731-Monitoring and Evaluation
    • ECON81210 - ENTREPRENEURSHIP
    • STA 8734-Multivariate Analysis
    Year 2
    • Geospatial Measurement Techniques
    • RSG8415-Remote Sensing
    • ELECTROMAGNETISM AND OPTICS
    • SVY 8416 -Control Surveys and Detail Mapping 2021-2022
    • CPG8312-Computer Programming
    • SVY8313-Geospatial Measurement Techniques
    1. Courses
    2. Faculty of Sciences and Information Technology

    Faculty of Sciences and Information Technology

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    Department of Land Management and Valuation

    Department of Computer Science

    Department of Statistics Applied to Economy

    Department of Library and Information Science

    About us
    INES-Ruhengeri e-learning platform provides access to a wide range of academic resources including course materials and assessments all available anytime and anywhere. The platform supports interactive learning through features like real-time quizzes, virtual classrooms, and collaborative tools, fostering engagement and communication between students and instructors. Start Learning Now
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    • E-Library
    CONTACT US

    Musanze, Street, NM 155

    Phone: +250 788 903 030/32

    E-mail: info@ines.ac.rw

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