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June 29, 2022, 08:22:26 pm

Author Topic: Monash University - Subject Reviews & Ratings  (Read 698094 times)  Share 

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hairs9

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Re: Monash University - Subject Reviews & Ratings
« Reply #570 on: January 12, 2022, 12:57:50 pm »
+2
Subject Code/Name: MTH2032 - Differential equations with modelling

Workload: 
Three 1 hour lectures and one 1.5 hour applied class per week

Assessment:
6 quizzes worth 2% each, 4 assignment quizzes worth 2% each, 1 midsemester exam worth 20%, 1 final exam worth 60%.

Recorded Lectures: 
Yes, with screen capture

Past exams available:
Yes from 2014 and 2015.

Textbook Recommendation: 
None required

Lecturer(s):
Ngan Le took the first 6 weeks, which were on ODEs and Mark Flegg took the last 6 weeks, which were on PDEs. There were also recordings available of parts of Jerome Droniou's previous lectures on ODEs.

Year & Semester of completion:
2021 semester 2(in lockdown)

Rating: 2.5 out of 5

Your Mark/Grade: 94 HD

Comments:
This unit was not well run. There were a lot of issues with cheating in the past and as a result of trying to combat that, we ended up with a much worse and unfair unit.
The assessments were mostly done in class. This had some perks, as it meant there was less to do outside of class. However, because classes ranged from Monday to Friday, people who took the Friday classes had 4 extra days to understand the content. The assessments also meant the classes were cut shorter and there was less time to complete the actual questions.
The assignments were very strange. We were given a prompt with some information and basically had to prepare everything we could to answer some multiple-choice questions. Once again, these quizzes were done in class so some people had a lot less time than others to complete it. The quizzes also had the problem of answers being in a certain format, and with only 5 minutes to do the questions, if you didn't use the right format, you were screwed.
There was not a lot of communication between the tutors, with some allowing notes for the assessments and others not.

In terms of the content, the ODE half was pretty interesting and at a good level. Jerome's parts of lectures were very useful and made Ngan's seem redundant, as she went through the same content(albeit a little slower and less put together), only adding a couple of examples. The PDE half was very strange to me, as it felt like there wasn't a lot of procedural content(eg how to solve equations etc), and instead we were just studying the same three equations over and over and over again. It seemed like anything we learned was only used in a specific context. Mark spent a lot of time doing long-winded examples that I didn't find particularly useful. A lot of his explanations were also very confusing to me.

Biggest advice is to read the notes and get a Friday applied class. Also, don't use Chegg or cheat in any other way(which you shouldn't be doing anyway) because Mark will hunt you down.
2019-Methods [45], Psychology [41]
2020-English [38], Chemistry [43], Spesh [43], UMEP maths [4.5], ATAR: 99.05
2021-2024: Bachelor of Science - Advanced(Research) at Monash

hairs9

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Re: Monash University - Subject Reviews & Ratings
« Reply #571 on: January 12, 2022, 02:33:29 pm »
+2
Subject Code/Name: MTH3051 - Introduction to computational mathematics

Workload:
Three 1 hour lectures and one 1.5 hour applied class per week

Assessment: 
11 x applied class participation/problem task worth 1% each for a maximum of 8%. The task is to be sent in before the applied class(does not have to be correct) and you have to go and participate in the applied class to be counted.
12 x weekly quizzes worth 2% each(20% in total, only the best 10 are counted)
4 x assignments worth 3% each
Final exam worth 60%

Recorded Lectures: 
Yes with screen capture(all over zoom)

Past exams available: 
There was a sample exam that was also our week 12 quiz so was included in our assessment.

Textbook Recommendation:
No textbooks are required, but I believe you could buy a paper copy of the notes if you needed to.

Lecturer(s): Janosch Rieger

Year & Semester of completion: 2021 semester 2(all online)

Rating: 3.5 out of 5

Your Mark/Grade: 81 HD

Comments:
This was both my favourite subject and my most stressful one. The main topic covered were errors, solving linear and nonlinear systems using algorithms, data fitting, and using types of data fitting to help do various mathematical things. Basically, a lot of learning how computers do things that we know how to do manually.
Janosch was ok. He explained things very visually, often using various drawings to illustrate his point. There weren't always a lot of examples though, and it was harder to try to apply the content to actual questions as a result. I found that generally going through the notes helped. The content was surprisingly theoretical but the theory was interesting. There were a lot of proofs involved, but we were only expected to be able to replicate a few of the shorter ones for the exam.
In terms of the assessment, the applied class participation was basically a free 8%, which I was very grateful for. The assignments weren't too hard if you've ever done coding before(and I think from next year you need to be able to anyway). The marking scheme was basically "if the code works you get full marks, otherwise 0 for the question". It was good if you did everything right but annoying if you had one slight mistake in the code. The quizzes were very annoying to me. They were done at the end of the week, before applied classes, which meant you had to try and have a grasp of the content with little opportunity to ask questions or practice questions. I thought having 50% of the insemester mark being based on your understanding of work before you had a chance to look at it properly was a little unfair. What was most annoying was that there was negative marking involved. Every quiz had at least one "tick the box" style question in which you had to tick all the correct answers, but if you ticked an incorrect one, you'd lose marks. For example, if there was 2 correct answers and you ticked one correct and one that was incorrect, you would get a 0, despite having some understanding. Was not a great system. The negative marking also applied to the exam, which sucked but at least by then we were used to it.
Biggest recommendation is to ask a tonne of questions whenever you get space, don't just settle if you don't understand something. And also, make sure you test out your code before submitting.
2019-Methods [45], Psychology [41]
2020-English [38], Chemistry [43], Spesh [43], UMEP maths [4.5], ATAR: 99.05
2021-2024: Bachelor of Science - Advanced(Research) at Monash

Geoo

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Re: Monash University - Subject Reviews & Ratings
« Reply #572 on: June 19, 2022, 09:58:37 pm »
+4
Subject Code/Name: French Introductory 1 - ATS1061

Workload: 
1 x 1 hour tutorial
1 x 2 hour tutorial
1 x 1 hour grammer lecture (online)
1 x 1 hour culture lecture (until week 1-8) (online)

Assessment: 
Language assessment 1 = 12%
Language assessment 2 = 15%
Culture assessment = 25%
Listening assessment = 8%
Weekly activites= 5%
Oral test = 15%
Final assessment = 20%
All of these were take home assesments. They were untimed, and were suppose to take 100 minutes, but most times you would need a little longer.

Recorded Lectures: 
All the lecutres were recorded in 2020, and are still used. 

Past exams available: 
No, as there are no exams for this subject.

Textbook Recommendation:
 Alter Ego+ A1, Méthode de français
You do use the textbook alot in class, for listening activites and reading comprohension. I didn't use it much outside of class however, and didn't use the online portal that I had access to from the textbook,
They also recommend a workbook, which I did findhelpful, but it was hard to keep up with as the workload increased during the semester.

Lecturer(s):
Jessica Chakowa

Year & Semester of completion: Semester 1 2022

Rating: 4.5 out of 5

Your Mark/Grade: TBA

Comments: I had a lot of fun with this subject, and thought it was an great introductory to le launge de français. I thought the lectures were very informative, although a bit slow so I did put them on 1.5x speed without an issue. Jessica was fantastic, she really cared about the students, and was always happy to answer questions. The 1 hour tutorial is mainly talking about what the grammar lectures covered, and going over listening comprehension. Sometimes they are helpful, but other times they didn't feel like the greatest use of time. Tutorial 2 was the more action packed one. It was 2 hours of speaking and writing activities, along with more reading/listening skills. The biggest weakness of this subject is the lack of opportunities to actually speak, once we get over the roles we play, we only speak french for around 10 /15 minutes total out of the 2 hours sometimes.
The assignments were on the easier side, although the reading comprehension was relatively difficult as you had to look up many unfamiliar words. All assignments were take home except for the oral, which was 5 minutes of talking French with your tutorial 2 teacher. I believe they may be returning to in class tests in the coming semesters, but nothing is confirmed. The rest was a listening section, writing section, and just so many verb conjugation exercises.
This was a nice break to my other subjects, and I do plan to carry on. If I had any advice,  know your verb conjugations, they catch up with you very quickly, do all the weekly study activities, even the noncompulsory, and try to involve French activities in everyday life.
« Last Edit: June 19, 2022, 10:09:25 pm by Geoo »
2020: VCE 93.2
2022: BSci/Arts (Chemistry/Pharmacology and French)@Monash