UNAU / PRG / 01
Python Masterclass
Zero to advanced Python.
Open the syllabusAustralia · University students · Concepts, not assignments
Starting a programming unit at an Australian university can feel like joining a conversation halfway through. Lectures move quickly, practicals assume last week is settled, and the first assessment arrives before the ideas have. Students from engineering, science, commerce and the arts meet code too, often with no school computing behind them. Our live online lessons run alongside the unit: we teach the concepts a week ahead, build testing and version-control habits, and stay well clear of anything assessed. This page compares how different universities open their programming sequence, sets out the semester rhythm, and shows a small experiment in how code similarity is measured, because understanding it explains why your own work must be your own.
Live teaching since 2020 · 10,000+ students · concepts ahead of the lecture, never the assignment
In short
Coding for university students means learning the programming concepts a unit expects, such as functions, data structures, recursion and testing, alongside the lectures rather than after them. First-year units differ: ANU's COMP1100 uses a functional language, while Sydney's INFO1110 teaches procedural programming. Modern Age Coders gives Australian university students live online concept lessons, never help with assessed work, and the first class is free.
Start here
Data structures for the second-year wall, C for systems units, and Git for every group project. The syllabus is one click away on each card.

UNAU / 01
Lists, stacks, trees, hashing and graphs, with the complexity reasoning lecturers expect.
Open the syllabus →
UNAU / 02
Pointers, memory and structs, for systems and embedded units that start in C.
Open the syllabus →
UNAU / 03
Branches, merges and pull requests, so group projects stop losing work.
Open the syllabus →First-year units
Students often assume every first-year unit teaches the same thing in the same language. The official unit pages say otherwise.
| University and unit | What the unit page says | What it suggests |
|---|---|---|
| ANU, COMP1100 | "Apply fundamental programming concepts, using a functional programming language, to solve problems." The reading list is a Haskell text. | Functions and types come before loops and objects |
| University of Sydney, INFO1110 | "Students will obtain knowledge and skills with procedural programming." | Step-by-step programs, memory and recursion |
| UQ, CSSE1001 | Programming taught "using an exploratory problem-based approach" | Learning by building and debugging |
| Monash, FIT1045 | "This unit introduces programming fundamentals."; students design, construct and test programs with their own functions and data structures | Fundamentals with testing from the start |
A function, a test, a data structure and a recursive definition mean the same thing in Haskell, Python, C or Java. Students who understand the idea in one language pick up the syntax of the next within weeks.
Our lessons teach the idea first, then show it in the language the unit uses.
Engineering, science and business students often take one programming unit with little school computing behind them. They are usually the fastest to improve with a weekly hour, because every concept is new rather than half-remembered.
We start from their own discipline's examples wherever we can.
Sources, read 13 October 2026: ANU COMP1100; University of Sydney INFO1110; UQ CSSE1001; Monash FIT1045.
The semester
A semester is short. UQ's page for CSSE1001, for example, lists Semester 1, 2027 as running from 22/02/2027 to 19/06/2027, with a lecture, an applied class and a practical every week.
| Item | Published value | Our reading |
|---|---|---|
| Units of credit | 2 | One of several units taken at once |
| Standard load | "A standard study load is 8 units per semester" | About four units like this one together |
| Lecture | 2 hours a week | New concepts arrive weekly |
| Applied class | 1 hour a week | Worked problems with a tutor |
| Practical | 2 hours a week | Hands-on coding, where gaps show |
Concepts stack quickly. We run one week ahead, so lectures become revision rather than first contact.
Assessment pressure arrives. Lessons switch to our own practice problems on the same ideas, and to testing habits that catch errors early.
Exam-style reasoning: tracing code by hand, predicting output and explaining why, with nothing taken from the unit's own papers.
A worked example
Students sometimes believe that renaming variables makes copied code "different". We tested that belief with seven short programs and two ways of comparing them.
We wrote one Python program that counts words in a file and prints the five most common, then six others: an identical copy, a copy with every name changed, a copy that was renamed, reordered and given new comments, two solutions written independently in different styles, and an unrelated program. We compared each with the original in two ways. A plain diff measures matching lines and characters. The second method replaces every variable name with the same placeholder, splits the code into five-token sequences, hashes them and keeps a small set of fingerprints by winnowing (the smallest hash in each window of four). Similarity is the share of fingerprints two programs have in common.
| Program compared with the original | Matching lines | Matching characters | Shared fingerprints |
|---|---|---|---|
| Identical copy | 100.0% | 100.0% | 100.0% |
| Every name changed | 20.0% | 40.7% | 100.0% |
| Renamed, reordered, new comments | 16.9% | 14.6% | 72.7% |
| Independent solution, hand-built dictionary | 15.4% | 12.5% | 16.0% |
| Independent solution, library counter | 12.1% | 6.2% | 7.8% |
| Unrelated temperature table | 6.5% | 21.0% | 1.4% |
The renamed copy matched only 20.0% of lines, barely above the hand-built independent solution at 15.4%. On fingerprints it scored 100.0%, because the structure under the names never changed.
Reordering functions and adding comments brought fingerprints down to 72.7%, still far above the independent solutions at 16.0% and 7.8%. The effort of disguising code is larger than the effort of writing it.
Two people solving the same small task share some structure by necessity: the hand-built solution shares 16.0% of fingerprints with ours. That is why a similarity score starts a conversation with a person rather than ending one.
For a word-for-word copy, the plain diff and the fingerprints agree at 100.0%. If verbatim copying were the only worry, a diff would be enough and far simpler.
The character diff is the weakest of the three: it gave the unrelated program 21.0%, more than the library-counter solution, simply because short programs share common letters and symbols.
This is a teaching experiment with seven programs we wrote ourselves, not a description of any university's software, which we have not seen. Real similarity tools also strip boilerplate shared by a whole class.
The point for students is simple: write your own solution, and the question never arises.
Integrity
Australian universities now name AI and code authorship directly in their programming outcomes.
ANU's COMP1110 lists as a learning outcome that students "Understand their ethical responsibilities as a programmer with respect to Academic integrity, the use of Artificial Intelligence and authorship of code."
Its course pages also state that ANU uses Turnitin "to assess assignment submissions as a component of the University's approach to managing Academic Integrity".
We teach with our own examples and our own practice problems. We do not look at, write, rewrite or debug any assessed task, and we decline when asked.
If a unit allows AI tools under conditions, the student follows the unit outline; our lessons explain the concepts so the student can do the work alone.
| We do | We do not |
|---|---|
| Teach the concept behind a topic in the unit outline | Read, write or fix an assignment |
| Set our own practice problems on the same ideas | Solve past or current assessment questions |
| Explain error messages in code written for our lessons | Debug code that will be submitted |
| Build testing and version-control habits | Advise on getting around any similarity check |
What we cover
Requests cluster around the same ideas, whichever university or language.
| Concept | Where students meet it | How a lesson approaches it |
|---|---|---|
| Recursion | Functional and procedural first-year units | Trace small calls by hand before writing any |
| References and memory | Procedural units and Java units | Draw boxes and arrows until the picture is automatic |
| Testing | Most units, as an explicit outcome | Write the test first, then the code that passes it |
| Complexity | Data structures units | Count operations on growing inputs, then name the pattern |
| Version control | Group projects | Branch, commit, merge and recover from a conflict on purpose |
Progress
Students who meet weekly from the first week usually reach the third sign by mid-semester.
| Stage | What it looks like |
|---|---|
| 1. Following | Lectures make sense on the day, with notes |
| 2. Practising | Practicals are finished in the time given |
| 3. Testing | Own code is checked with tests before anyone else sees it |
| 4. Explaining | Can teach a classmate why a solution works, without the code in front of them |
No. A repeated unit is often the easiest one to prepare for, because the topics are known. We rebuild the foundations before the semester starts.
What changes most is the habit of testing early.
Yes. A summer of weekly lessons on functions, data and testing makes the first weeks far calmer.
Tell us the unit code and we will read its public page with you.
The catalogue
Organised by what the degree demands. Pick by the unit you are taking now.
UNAU / PRG / 01
Zero to advanced Python.
Open the syllabusUNAU / PRG / 02
Core Java to Spring Boot.
Open the syllabusUNAU / PRG / 03
Fundamentals to modern C++.
Open the syllabusUNAU / THY / 01
The core of most degrees.
Open the syllabusUNAU / THY / 02
Calculus and linear algebra.
Open the syllabusUNAU / THY / 03
Speed and correctness.
Open the syllabusUNAU / BYD / 01
Team-ready version control.
Open the syllabusUNAU / BYD / 02
Design and query.
Open the syllabusUNAU / BYD / 03
Python, ML and deep learning.
Open the syllabusHow lessons run
Our teachers are in India, where the day overlaps Australian afternoons and evenings comfortably. Each booking uses the student's own state time, adjusted whenever daylight saving starts or ends there.
Weekday evening
After lectures and practicals.
Weekend
Longer sessions before a busy week.
Semester break
Foundations before the next unit.
A short concept check against the unit's public outline.
Fifteen to twenty students, often from different universities.
For one unit, one language or a repeat attempt.
Concepts taught before the lecture covers them.
Practice written by us, never taken from the unit.
No assessed work, in any form.
Student work
Projects our learners built for themselves and published. The student labs show more of them.

AI and ML
An AI nutrition coach that reads what you eat and works you toward a target.

AI and ML
A chatbot that answers mathematics and programming questions, built and deployed by a student.

AI and ML
An assistant that helps a young person recognise unsafe situations online.

Web app
A weather forecasting site with live conditions for any location.
Fees
University students in Australia pay one monthly fee in US dollars. There is no joining charge, and lessons can end with any month.
Free first class
USD 0
no card required
Group batch
USD 100
a month, billed in US dollars
One to one
USD 150
a month, billed in US dollars
What families say
Unedited reviews from our Google business profile, exactly as their authors posted them.
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"The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content."
Ria Mukherjee
Parent
★★★★★
"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease."
Samriddha Mondal
Student
★★★★★
"One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development."
Vansh Agarwal
Student
★★★★★
"My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative."
Sonam Oswal
Parent of Dhairya
★★★★★
"Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation."
Sonu Goyal
Parent
★★★★★
"I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding."
Ritu Kedia
Parent
Students ask
It is live teaching of the programming concepts a university unit expects, such as functions, recursion, data structures and testing, given alongside the unit and never on assessed work.
No. We teach the concepts with our own examples and practice problems. We do not read, write, rewrite or debug assessed work, in line with university academic integrity rules.
It varies. ANU's COMP1100 uses a functional language, Sydney's INFO1110 teaches procedural programming, and other universities differ again. Check your unit outline; we teach the concepts in that language.
No. In our experiment, a copy with every name changed matched only 20.0% of lines but 100.0% of structural fingerprints. Writing your own solution is the only real answer.
It is a way of fingerprinting documents or code: hash every short sequence of tokens and keep only the smallest hash in each window, so two texts can be compared by the fingerprints they share.
Yes. Many of our university students take one programming unit inside another degree.
Yes. Evening and weekend lessons are arranged in your own state time.
The first class is free and needs no card. Monthly fees for groups and one-to-one lessons are in the fees section.
Also on this site
Language guides and other Australian pages.
The front door to every Australian guide.
For Java units and the equality contract.
Why pasted code fails its own promises.
For those still choosing a course.
Private lessons for one unit.
Checking AI output instead of trusting it.
Start here
Tell us your unit code and a time to call. The first lesson checks one concept from the unit's public outline and ends with a semester plan.
Before booking, you can read how our lessons are run or scan the full catalogue.
WhatsApp us · +91 91233 66161 · connect@modernagecoders.com
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