EPN-V2

ACIT4100 Understanding and Communicating Research Emneplan

Engelsk emnenavn
Understanding and Communicating Research
Omfang
10.0 stp.
Studieår
2021/2022
Emnehistorikk
Timeplan
  • Innledning

    Two internal examiners. External examiner is used periodically.

  • Forkunnskapskrav

    Professor Anis Yazidi

  • Læringsutbytte

    It is an advantage to have some experience with the following subjects:

    • Mathematical Analysis
    • Basic programming, such as scripting
    • Statistics, specifically probability theory
  • Innhold

    The course is divided into three modules, the first is in navigating the world of scientific literature. Here, the course will focus on the structure of scientific documents such as thesis and research papers as well as how to search for and find relevant literature for own research. It will also cover presentation technique in this part. Module one will be based on mainly lectures and workshops/labs where students work on assignments.

    Topic keywords Module 1:

    • Structure of research papers and thesis
    • Conducting literature surveys
    • Presentation technique and public speaking

    The second module will focus on different research methods. There will be several versions of this module available focusing on sub-areas of research methods, such as quantitative methods. Here, the student will pick the appropriate module for their own specialization field. The modules will be taught with their own structure, either seminar or regular lab-based teaching where appropriate.

    Topic keywords:

    • Module 2A - Quantitative methods
    • Module 2B - Qualitative methods

    The third and final module will cover aspects of ethics in research, such as plagiarism and forgery.

    Topic keywords Module 3:

    • Plagiarism in research
    • Forgery of scientific results
    • The role of the researcher / expert
  • Arbeids- og undervisningsformer

    • Data streaming systems
    • Data mining systems and BigData platforms
    • Data stream processing methods, such as, but not limited to, anomaly detection, clustering, association rule learning
    • Data visualization
    • Statistical analysis on large data sets
    • Linear algebra applied on BigData
    • Using programming to implement analysis and toolchaining

  • Arbeidskrav og obligatoriske aktiviteter

    The following required coursework must be approved before the student can take the exam:

    Two mandatory assignments:

    • One recorded presentation of between 10 and 15 minutes.
    • A spreadsheet containing results of a research survey including columns for relevant meta-information with at least 7 relevant research papers
  • Vurdering og eksamen

    Written individual essay of between 7500 and 10000 words.

    The exam can be appealed.

    New/postponed exam

    In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

  • Hjelpemidler ved eksamen

    All aids are permitted.

  • Vurderingsuttrykk

    For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

  • Sensorordning

    Two internal examiners. External examiner is used periodically. The exam grade can be appealed.

  • Emneansvarlig

    Associate Professor Kyrre Begnum