I am a German undergrad Math student (3rd year) at the university of Munich and I would classify our courses as relatively hard compared to what I have heard from other (German, but also some other Country’s) universities.

During the terms, I really dedicate almost all of my free time to studying and Math itself because I really enjoy it and love learning new stuff.
Yet, I really struggle at exams. I am always able to pass the exams by doing the standard exercises, but once it gets to tasks where you have to have the right ideas and think a little bit more I am unable to have a clear head and almost never get a REALLY good grade.
My grades are almost always around B+ to B- (if correctly translated), but never an A or even A+, since there’s always some exercises that I can’t solve. I start feeling like I am either studying the wrong way or I am simply too “stupid” to do some harder exercises.

Whenever I talk to graduate or PhD students or even professors, they always tell me that they have been straight A+ students and I’ve never met one who was just an average or maybe a little bit above average student.

So my question: Is the excuse “I am just bad exams” a legit one and if not, how can I work on it? I don’t think that I don’t study enough, it’s actually not really possible to dedicate more time to be honest. I would really love to stay in the academic field but I am afraid I am not the right type of person to work on higher mathematics.

As an undergraduate chemistry student, I often find myself wondering which field of chemistry I like the most and what kind of master’s degree I should pursue in the following years. I would like to combine something that both interests me and provides me with a good chance of finding a job.

So, my question is, which fields of chemistry are the ones that offer the most job opportunities? Which of them do you think will continue developing in the future? The postgraduate students of which fields (again, of chemistry) are the most likely to find a job?

Thanks in advance.

I’m in the verge of finishing my PhD next year. I already know I don’t want to follow an academic career; still, I’ve come this far and will see it through (well… I have have a salary too…). I’m starting to look for positions in industry and would like to know how much having publications is appreciated by recruiters. Point in case, some data and drafts have been pilling up in my hard-drive during the last couple of years. Being honest, none of them make for a memorable publication or a significant contribution to science, but there is enough material for two or three submissions to specialized journals. Is it worth putting time and effort in finishing these papers if I’m going into industry? Will my CV look better if I add some publications on it? PS: This is in the context of the US and Europe and I’m getting a PhD in a STEM field.

A now deceased professor would have turned 100 year this year. What is the best way to honor his achievements?

Should a Festschrift (memorial publication) include:

  • Personal anecdotes on how you first met his thoughts in university
  • Personal reflections on what his thoughts has meant for your career further on in life
  • Review of publications
  • Links to others reviews of his publications
  • A detailed paraphrase of his most important works, step by step
  • etc

I’m in mathematics.

There’s a specific example in a framework my collaborator and I outlined that many people ask me about. It did not fit into previous papers due to space considerations for journals. I feel that writing a note that explains this example in our point of view would be useful for the community. This example would have a few minor results along the way but mostly it would be a detailed example of our previous work. For that reason, I think it makes most sense in a proceedings; however, I have no proceedings invitations at this point in time.

Should I just sit on the paper or is there another venue or method to deal with this type of issue? Should I put it on the arxiv until a proceedings volume comes along?

A student requested to meet marker(me) to talk about midterm. He thought the mark was unfair. But we met, he just told me to point out why he was wrong. He got 0 for that question and I had no idea why he thought the mark was wrong. I was unable to give a very clear explanation. And the student just got angry, like I owed him. After this unhappy experience. I decided to let students state why they think the marks are wrong and attach snapshot in emails. If I think the reason is unjustified I will just point it out and refer them to the instructor. Is that a good policy?

This question already has an answer here:

I recently got accepted into one of the schools in Europe. According to the anticipated date mentioned in the offer letter, my studies will start in Dec 2017. Now, the problem is that I’ve got two papers ready for submission at the moment and I don’t have the faintest idea what to put for my affiliation. Any ideas?

Just to clarify that this question is not a duplicate:
When I was working on the above-mentioned studies, I was not either employed by or affiliated with my former university. My former supervisor did help me out with some parts of the papers, but rather as a colleague or a friend than as a “supervisor” in the true sense of the word.

Thank you

I’ll be starting grad school in August and I need help deciding what courses to take. I want to become a full stack web developer. I have intermediate knowledge in C, Python, JavaScript (some node.js and D3.js too), and PHP. I have to take a minimum of 10 courses in my 2 years of MSCS.

Here’s a list of all the courses I wish to take:

  1. Computer Architecture and Organization (Compulsory – Fall 2017)
  2. Programming Languages (Compulsory – Fall 2017)
  3. Data Structures and Algorithms (Compulsory – Spring 2018)
  4. Operating Systems (Compulsory – Spring 2018)
  5. Database Systems
  6. Information Retrieval
  7. Introduction to Data Mining
  8. Advanced Topics in OOP (C++; I have no prior experience in the language)
  9. Design Patterns (Java; I have no prior experience in the language)
  10. Software Engineering (With major team project)
  11. Introduction to Visual Information Processing
  12. Computer Graphics
  13. Programming Models for Emerging Platforms
  14. Software and Engineering Project Management
  15. Introduction to Machine Learning
  16. Programming Systems & Tools
  17. Web Based Programming
  18. Web Data Management
  19. Advanced Data Mining Seminar

I would also appreciate some help with when to take the courses that you think are best for me. I have to take a minimum of 7 courses in total in the first year.

If I plan to take 3-4-4-2 courses in the 4 semesters, then I will have to choose 9 courses out of the 15 electives that I’m interested in.

Here is my first draft of a plan which follows the 3-4-4-2 structure:

Fall 2017:
Computer Architecture and Organization
Programming Languages
Introduction to Visual Information Processing

Spring 2018:
Data Structures & Algorithms
Operating Systems
Database Systems
Introduction to Data Mining

Fall 2018:
Information Retrieval
Introduction to Machine Learning
Web Based Programming
Web Data Management

Spring 2019:
Programming Systems and Tools

Any help will be appreciated. Thank you!