MATHS 2100 - Real Analysis II
North Terrace Campus - Semester 2 - 2023
General Course Information
Course Code MATHS 2100 Course Real Analysis II Coordinating Unit Mathematical Sciences Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Prerequisites MATHS 1012 Course Description Much of mathematics relies on our ability to be able to solve equations, if not in explicit exact forms, then at least in being able to establish the existence of solutions. To do this requires a knowledge of so-called "analysis", which in many respects is just Calculus in very general settings. The foundations for this work are commenced in Real Analysis, a course that develops this basic material in a systematic and rigorous manner in the context of real-valued functions of a real variable. Topics covered include: Basic set theory. The real numbers and their basic properties. Sequences: convergence, subsequences, Cauchy sequences. Open, closed, and compact sets of real numbers. Continuous functions and uniform continuity. The Riemann integral. Differentiation and Mean Value theorems. The Fundamental Theorem of Calculus. Series. Power series and Taylor series. Convergence of sequences and series of functions.
Course Coordinator: Professor Finnur Larusson
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
On successful completion of this course, students will be able to:
1. describe the fundamental properties of the real numbers that underpin the formal development of real analysis;
2. demonstrate an understanding of the theory of sequences and series, continuity, differentiation and integration;
3. demonstrate skills in constructing rigorous mathematical arguments;
4. apply the theory in the course to solve a variety of problems at an appropriate level of difficulty;
5. demonstrate skills in communicating mathematics.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
1, 2, 3, 4
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
1, 2, 3, 4, 5
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
3, 4, 5
Required ResourcesThe textbook for the course is Lectures on Real Analysis by Finnur Lárusson, freely available to students via the library catalogue.
Recommended ResourcesThere are many good real analysis books out there for students who want to look at other sources, for example Understanding Analysis by Stephen Abbott, which is freely available via the library catalogue.
Learning & Teaching Activities
Learning & Teaching ModesEach week's material is presented in two sources that complement each other: the textbook and lecture videos that are posted on MyUni at the beginning of the week. Having studied the material from both sources, students test their initial understanding with an online quiz. The following week students deepen their understanding of the material and their skills in applying it by working on tutorial exercises and attending an active tutorial. A weekly workshop for the class as a whole offers students an opportunity for active learning face to face with the lecturer. Biweekly assignments provide students with further opportunities to practise and get feedback on their work. Students interact with the lecturer and with each other on a MyUni discussion platform. In addition, the lecturer offers weekly consulting.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Study of textbook and videos 62 Tutorial 12 24 Quiz 11 22 Assignment 6 30 Test 2 12 TOTAL 150
Learning Activities SummaryTopics
Numbers, sets, and functions.
The real numbers.
Open, closed, and compact sets.
Tutorials will be held every week, covering material from the previous week. The first tutorial, in Week 1, will be a review of first-year calculus.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Component Task type Due Weighting Outcomes Assessed Assignments Formative and summative Even weeks 15% All Quizzes Formative and summative Weekly 10% All Tutorial participation Formative Weekly 5% All Test 1 Summative Week 5 10% All Test 2 Summative Week 9 10% All Exam Summative Exam period 50% All
No information currently available.
No information currently available.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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