Topic outline

  • General

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    • General Module Announcements Forum
      You should be able to find all the relevant information and resources you need by navigating the tabs on the QMPlus page for the module.
      Please check this space regularly for General Module Announcements.

       
    • Student forum

      Forum Description: This forum is available for everyone to post messages. Students can raise questions or discuss issues related to the module. Students are encouraged to post to this forum and it will be checked regularly by me. 

      Students should feel free to reply to other students if they are able to. 

      Thank you very much.

      Happy (new) learning (year)!

      Dimitris

    • Late-summer final assessment 2022/23 Quiz

      This handwritten assessment is available for a period of 3 hours, within which you must submit your solutions. You may log out and in again during that time, but the countdown timer will not stop. If your attempt is still in progress at the end of your 3 hours, any file you have uploaded will be automatically submitted.

      The assessment is intended to be completed within 2 hours. In completing this assessment:
      • You may use books and notes.
      • You may use calculators and computers, but you must show your working for any calculations you do.
      • You may use the Internet as a resource, but not to ask for the solution to an exam question or to copy any solution you find.
      • You must not seek or obtain help from anyone else.

      Not available unless: You belong to LSR_2023

  • Module schedule and expectations

    • ROUGH SCHEDULE


      WEEK 


            DATE
            TOPIC
      123rd JanuaryIntroduction. Integers and their properties. Polynomials
      230th JanuaryPolynomials (continued) and their properties, including uniqueness of factorisation into irreducibles
      3 6th FebruaryMathematical Logic
      413th FebruaryPropositional Functions (Quantifiers)
      520th FebruaryNaïve Set Theory
      627th FebruaryNaïve Set Theory (continued)
      7Reading WeekMid-term test (No classes)
      813th MarchMathematical Induction
      920th MarchCorrespondences and Relations
      1027th MarchFunctions
      113rd AprilProbability
      1211th April
      		Probability (continued) and Revision

    • TEACHING ARRANGEMENTS

      Each learning session is based on the week’s topic.  Please check the information by clicking on the relevant tab.

      Learning Sessions and TutoriaLabs

      Learning & Laboratory sessions: 

      • The module consists of 2 hours contact teaching sessions per week. 
      • Each session will start with an interactive teaching period of 20-30 mins. 
      • This will be followed by a laboratory period of 2 hours. 
      • Much of the teaching and all the laboratory material will be used on Jupyter Notebooks.  
      • The demonstrators and the lecturers will help students implement the coursework assignments. 

      The first four to five weeks will be focused on teaching the main data analysis techniques alongside key methods on model generation and validation. During this time students will participate in a formative assessment.  

      In subsequent weeks students will commence on their individual and group assessments during which they will be required to implement the techniques they have learned. Teaching sessions will now focus on more advanced data analysis methods and will include report writing and in-depth code documentation training. 

      TutoriaLabs

      These are the core learning experience of the module. 

      NB. How you engage with tutoriaLabs is crucial to your success.

      Preparing for the TutoriaLabs

      • Read the assigned reading thoroughly. Make good notes – don’t just highlight.
      • Review lecture notes and ask questions to enhance your understanding of the week’s topic.
      • Take a look at the QMPlus page of the module. Please have a think about how the week’s topic has a bearing on contemporary issues.
      • It is a good idea to prepare a productive question for discussion on the week’s tutoriaLabs.
      • BRING THE WEEK’S MATERIAL INTO THE TUTORIAL-LAB WITH YOU (physical or electronic copies)



    • USUAL WEEKLY SCHEDULE (NOT WEEK 7)

      There are two hours of LIVE Lectures on Monday each week. These are scheduled as follows:

      Monday 12 noon to 2:00 pm. - NB. Not in Week 7 -

      The notes for these are given in the relevant weeks.

      There is also a 2 hour LIVE Tutorial (two groups). During the tutorials, we will go through examples. These are scheduled as follows:

      Thursday 9:00 am to 11:00 am. - NB. Not in Week 1 -

      Friday 4:00 pm to 6:00 pm. - NB. Not in Week 1 -


      ASSESSMENT

      This will be 80% final exam and 20% mid-term exam.





  • Week 1 (23rd January – 27th January)

    Happy New Year to all of you!

    I wish you a year filled with joy and happiness, health and success, dreams to follow, new goals to achieve and learning...a lot of learning! :-)

    Our first week kicks off with our first lecture on Friday 27th January 2023. 

    Lectures are taking place in David Sizer Lecture Theatre at Bancroft Building.

    There are no tutorials during the first week.

    I am looking forward to seeing you on Friday.

  • Week 2 (30th January – 3rd February)

  • Week 3 (6th February – 10th February)

  • Module Aims and Learning Outcomes

    • Learning Outcomes:

      The primary learning outcome in this module is that you will think about learning as a mindset and a process - it has no end point.

      By the end of this module you will have gained an understanding of:

      • Polynomials
      • Mathematical Logic
      • Propositional Functions
      • Set Theory
      • Mathematical Induction
      • Functions and
      • Probability

  • Teaching Team


    • MEET THE LECTURER
      Name: Dimitris Kalogiros
      Role: Module Lead
      Background Information: 

      Dimitris is an Applied Mathematician, i.e. a «storyteller» with «a passion for learning» in Biology, Epidemiology, Medicine and Ecology. He is also an Associate Fellow of the Higher Education Academy (Advance HE) and a Mental Health First Aider (MHFA England). Dimitris loves teaching and setting his students free of the fear of mathematics while inspiring them to immerse themselves into the art of mathematics.

      You can find more information at:

      https://www.qmul.ac.uk/maths/profiles/kalogirosd.html

      https://www.linkedin.com/in/dkalogiros/

      https://twitter.com/dkalogiros

       
      Contact:       d.kalogiros@qmul.ac.uk (or by clicking on the photo on the right hand side)


  • Where to get help

    • There will undoubtedly be times during the term when you get stuck. This is completely normal. 

      Please use the forum to post any questions or feel free to contact Dimitris.

  • Week 4 (13th February – 17th February)

  • Week 5 (20th February – 24th February)

  • Week 6 (27th Feb – 3rd March)

  • Week 7 (6th March – 10th March)

    • MID-TERM TEST

      Please ensure you complete this week's assessment quiz as it counts for 20% towards your final module mark.

      It will be based on material covered during the first 6 weeks, i.e. Numbers and their properties, Polynomials, Mathematical Logic, Propositional Functions (Quantifiers) and Naïve Set Theory.

      The mid-term test will take place (for 3 hours) between Tuesday 7th March 2023 at 10 am and Tuesday 7th March 2023 at 1 pm.

      It will be a mix of multiple choice, true/false as well as "fill in the values" questions.


    • Discrete Maths Mid-term Test Quiz

      The mid-term test will take place (for 3 hours) between Tuesday 7th March 2023 at 10 am and Tuesday 7th March 2023 at 1 pm.

      In completing this assessment:

      • You may use books and notes.

      • You may use calculators and computers, but they won't help much.

      • You may use the Internet as a resource, but not to ask for the solution to an exam question or to copy any solution you find.

      • You must not seek or obtain help from anyone else.

      Please note that in the event of any technical issue or any problem that you might encounter please email both: 

      fedu@qmul.ac.uk AND d.kalogiros@qmul.ac.uk .


  • Week 8 (13th March – 17th March)

    • Notes Week 8 File

      Mathematical Induction

      3.1 MB
    • Questions for Week 8 File
      161.0 KB
    • Help for Week 8 Tutorial File
      You can find help for solving the questions in this week's tutorial. This file will provide extra help so you can try the questions yourselves following our tutorials this week.
      Please also try the extra questions for further practice whcih can be found at the end of the lecture notes.
      974.6 KB

  • Week 9 (20th March – 24th March)

  • Week 10 (27th March – 31st March)

  • Week 11 (3rd April – 7th April)

  • Week 12 (10thApril – 14th April)

  • Q-Review

  • Zoom links for lectures on Monday