STAT2201 - Semester 1, 2019: Analysis of Engineering & Scientific Data

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    STAT2201, Semester 1 2019: Analysis of Engineering & Scientific Data

Click Here for the Semester 1, 2020 version of the course.


Welcome to the Semester 1, 2019 STAT2201 course, taught at the University of Queensland. The course coordinator and lecturer is Dr. Sabrina Streipert. The super-tutor is Dr. Vincent Mellor. Administrative support is given by John Cohen, reached at stat2201@uq.edu.au. Any queries about enrolments, group changes, late submissions or similar should be sent to that address.

STAT2201 is a 1 unit course (a full semester course at UQ is typically 2 units). The lectures are Tuesday 3-5pm in 50-T203.
This year's course content is similar to last year's version , hence you may use resources from that year as an aid.

Consultation Hours: Friday 2-3pm, Building 82 E - Room 409.

Learning Objectives

Frequently Asked Questions
  1. How does the statistics programming language R fit in?
    It is a tool that you will use for data analysis and inferential statistics. You can use it with R Studio. The world is full of mathematical, scientific and statistical programming languages and R is just one example of such a language. R is a free software and one of the most widely used statistics languages and offers therefore a large support community on the net. STAT2201 is not a programming course. You will only be required to carry out basic data analysis and Monte Carlo computations using R, based on examples presented in the Lectures and Tutorials.

  2. How can I download R and R Studio?
    R Studio is a user friendly add-on to R, making them two separate packages that need to be installed.
    The university computers in iLC labs (07-213) and possibly other labs in Building 69 should have R and R Studio installed. R and R Studio is available in the library under Specialised Applications and then R.

    • To install R on your laptop or home computer:
      1. Go to R-Project homepage.
      2. In the Getting Started section, click on download R.
      3. Pick a CRAN Mirror. Any of the links in the Australia section work, for example https://cran.csiro.au/.
      4. Click on your operating system (Windows, MAC, Linux) and follow directions.
        If you have a Windows machine, choose the “base” version and click on Download R 3.5.2 for Windows. You may need to save the file “R-3.5.2-win.exe,” and then click on it to execute it. When the dialog box opens, click “RUN.” A Setup Wizard should appear. Keep clicking “Next”, until it is finished. You should now see an icon on your desktop, with a large capital “R”.
      5. Congratulations, you successfully installed R.

    • To install R Studio on your laptop or home computer:
      1. Go to R Studio homepage.
      2. Click on Download R Studio.
      3. Pick the FREE Version and download.
      4. Choose your operating system, save the .exe-file and follow the instructions.
      5. Congratulations, you successfully installed R.

  3. Will the lecture notes be made available?
    Yes, the course slides with worked out examples will be made available on blackboard and the course webpage after each lecture.

  4. When are the assignments due?
    There will be six assignments in total. They are due on selected Friday's by 6pm and have to be submitted through blackboard. The homework should be a Word documents created by R Markdown. For the exact due dates of the assignments, please see the Syllabus. The assignments will be made available on blackboard and the course homepage 2 weeks prior to its due date.

  5. How am I assessed?
    Your STAT2201 grade is based on the following:
    (I) A final exam with a weight of 60% for your final grade. You must get at least 40/100 on the exam to receive a passing grade for the course. The exam duration is 2 hours, giving you ample time to think.
    (II) Individual assignments involving analytic computations, data analysis using R, essay (understanding). There are 6 assignments in total. Your grade for the assignments carries a weight of 40% for the final grade and is based on your top 5 assignments. Hence effectively each assignment is worth 8% of the grade.

  6. What can I do to pass this course?
    Just follow (I) -- (X):
    (I) Study the detailed course schedule below and align it with your schedule.
    (II) Obtain a copy of the Recommended Book and glance through the book prior to attending lectures.
    (III) Attend weekly lectures, bringing a printout of the condensed course notes with you (link below).
    (IV) After the lecture, review the concepts taught and attend lecturer visit hours if needing clarification.
    (V) Attend weekly tutorials (as scheduled) to start the assignment.
    (VI) Continue working on the assignments individually and hand in your assignment on time.
    (VII) Review comments on marked assignments and attend lecturer visit hours if needing clarification.
    (VIII) Prepare for the final exam by studying the book, the condensed course notes, the 6 assignments and 2 practice exams that will be provided.
    (IX) Attend the final exam and use all 2 hours of the exam to think and produce correct answers.
    (X) Obtain the highest mark possible.

Key Links:

Basic Resources:

Study units and related links