qfff msc dissertations

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Msc qfff review.

I'm applying to Imperial's MSc in Quantum Fields and Fundamental Forces. I've been to the open day and honestly got a bad impression. It doesn't help that I've heard Imperial fosters a toxic environment according to its graduates. The modules, however, are very interesting to me so I still want to give it a shot.

I'd like to hear an honest review from someone who's done/doing it.

What is your relationship like with your peers (competitive or teamwork oriented, social or antisocial, ...)?

How available are the lecturers and advisors?

If applicable, why did you choose this over Oxford's MSc / Cambridge's MASt Theoretical & Mathematical physics?

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QFFF MSc at imperial?

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Computer Science Department

Master of science in computer science, with a focus on cutting-edge and emerging technologies, the computer science program at itu can prepare you for a successful career as a computer scientist in fields like technology, research, business, finance, and more..

In ITU’s M.S. Computer Science program, you’ll prepare for a successful career as a computer scientist or in any field that utilizes computerization. As essential portion of your studies will be dedicated to understanding and researching algorithms, as well as developing new ones. You’ll master operating systems, compilers, internals of databases, visual and sound recognition, and robotics—as well as acquire in-depth theoretical knowledge to contribute to computerization in fields not yet discovered.

Our 39 credit hour curriculum is completed in 16 months. The 39 credit hours are composed of core courses, electives, cross disciplinary electives, capstone or thesis, and an internship.

Program Structure

CORE COURSES

• CSC 681 Advanced Computer Algorithms & Data Structures
• CSC 521 Advanced OO Programming with Java and Python
• CSC 657 Deep Learning Programming

CAPSTONE COURSES

• SWE 690 Capstone Project or
• SWE 695 Masterʼs Thesis

ITU PRESENTS

• PRE-500 ITU Presents (1/3) *Students must take three ITU Presents courses for a total of 1credit hour.

ITU NUGGET COURSES

• Nuggets courses are typically coded between IDS 500 and IDS 599. For more details, consult the Chair Department.
• INT 593 Internship

Elective Courses

In each of the 3 MS programs (MSCS, MSIC, MSSE) Electives must be chosen from the list below so that the total number of credit hours is at least 39. All electives count in each program, except when explicitly stated otherwise.

List of Elective Courses for all 3 MS Programs

• SWE 557 Artificial Intelligence and Machine Learning Programming
• ICS 602 Cryptography and Advanced Cybersecurity »
• ICS 503 Cybersecurity & Network Defense
• ICS 530 Ethical Hacking & Attack Countermeasures
• CSC 515 Mobile Applications (iOS Android and IoT)
• CSC 529 Mobile Games Cross-Platform Development C# with Unity
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• CSC 526 HTML/CSS Programming & JavaScript
• ICS 635 Penetration Testing
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• ICS 637 AI for Cyber Defense: Harnessing Advanced Technologies for Cybersecurity
• SWE 685 Software & Cloud Architecture
• AMS 510 Linear Algebra
• AMS 512 Applied Mathematics Methods
• AMS 520 Optimization Techniques
• AMS 530 Numerical Analysis
• AMS 540 Discrete Mathematics
• AMS 552 Probability, Statistics, and Reliability for Engineers
• AMS 722 Advanced Applied Mathematics Methods
• CSC 501 Discrete Structures
• CSC 502 Principles of OS & Distributed
• CSC 505 The UNIX/Linux OS
• CSC 509 C Programming
• CSC 511 OO Programming with C++
• CSC 512 Data Structures
• CSC 518 OO Programming with Java
• CSC 519 Android Phone Application Development
• CSC 520 Python Programming
• CSC 522 R Language Programming
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• CSC 688 Special Topics (1to 3 credit hours)
• CSC 689 Independent Study (1to 3 credit hours)
• CSC 720 Formal Methods
• CSC 730 Cryptography & Cryptanalysis
• CSC 750 Coding Theory
• ECE 502 Advanced Python Applications
• ECE 503 AI Math fundamentals with Python application
• ECE 505 Machine Learning Fundamentals
• ECE 655 Deep Learning Fundamentals (Keras/TensorFlow 2.0, Pytorch)
• ECE 656 Reinforcement Learning (Pytorch)
• ECE 657 Natural Language Processing (Keras/TensorFlow 2.0, Pytorch)
• ECE 660 Parallel Implementation of ML Algorithms with GPUs (Python Mumba programming, Cuda programming with C++)
• ECE 661 AI application development in Engineering and Science (self-driving cars, advanced computer vision/face recognition, AI application in Cybersecurity) ECE 662 AI application development in business (Fintech/algorithmic trading)
• ECE 663 Machine Learning project deployment and production (dockers and Kubernetes, Edge AI, iPhone/Android deployment)
• ICS 520 Personal Computer Security
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• ICS 535 Cloud and Virtualization Security (CPO)
• ICS 550 Security Policies
• ICS 570 Web Security Fundamentals
• ICS 620 Computer Malware
• ICS 630 Digital Forensics Technology
• ICS 670 Network & Data Security
• ICS 680 Theory of Cryptographic Systems
• ICS 688 Special Topics (1to 3 credit hours)
• ICS 689 Independent Study (1to 3 credit hours)
• IDS 573 Python for Pentesters Fundamentals
• SWE 500 Software Engineering
• SWE 518 User Interface Design & Implementation
• SWE 525 Version Control Tools/GIT
• SWE 540 SQA/Manual Testing
• SWE 542 SQA/manual/auto/perf Testing
• SWE 544 SQA/Software Testing Tools
• SWE 546 SQA/Performance Testing
• SWE 550 Software Project Management (CPO-ACP)
• SWE 560 Principles of Database Systems
• SWE 561 Cloud Computing
• SWE 562 Oracle Database Management/ Administration
• SWE 570 Internet of Things Architecture and Security
• SWE 600 Advanced Software Engineering
• SWE 602 Software Requirements Elicitation
• SWE 632 Software Risk Management
• SWE 633 Software Refactoring
• SWE 680 Software Architecture
• SWE 688 Special Topics (1to 3 credit hours)
• SWE 689 Independent Study (1to 3 credit hours)

Admission Requirements

• Click   here   for Admission Requirements.

Who should apply

ITU’s Computer Science program is ideal for students who want to acquire in-demand technology skills while learning in a collaborative and entrepreneurial environment in Silicon Valley.

Learning Outcomes

• Lead and organize Information Technology (IT) implementations at companies and institutions.
• Invent and improve algorithms for storing, accessing, processing, and analyzing data.
• Invent real-time computation methods for analysis and processing of data in robotics on optical, sound, and other real-time data from digital sensors
• Create innovative and useful features for modern operating systems such as multiprocessor, multiprocessing, and distributed.
• Contribute to research and development of algorithms in all areas that are now and in the future subject to computerization.
• Clearly explain Computer Science concepts in research, development, and educational institutions.
• Show proficiency and skills in the most important areas of state of the art computer science.

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Engineering Graduate Core - Enrichment Experience Students must take a minimum of 8 units of the Graduate Core Enrichment Experience.

• Emerging Topics in Engineering
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• Engineering and Society
• Taking one or more major technical electives
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• Taking Cooperative Education course
• Combining courses from a, b and c

Please refer to  Chapter 6: Enrichment Experience and Graduate Core  for additional information and the core course list.

• Students who have taken one or more of these core courses or their equivalent must replace said course(s) with the advanced course equivalent (CSEN 313, 379, and/or 383) or, with their advisor’s approval, replace said course(s) with elective(s).

MSCSE Electives

• Electives: Sufficient units to bring the total to at least 46. (The minimum number of CSEN graduate units should be at least 36 units, and courses must be approved by the advisor.)

Please Note: Students wishing to do a thesis (CSEN 497) should consult with their academic advisor regarding a modification of these requirements.

Chair: Prof. Silvia Figueira

Department Manager (contact for Graduate Matters):  Pam Lin  408-554-6805

Department Manager (contact for Undergraduate Matters):  Valerie Woitte 408-554-5281

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Imperial QFFF vs Cambridge Part III

• Thread starter Matt_993
• Start date May 30, 2015
• Tags applied maths cambridge fundamental forces imperial part iii qfff quantum fields theoretical physics
• May 30, 2015

A PF Electron

• Higher-order topological simulation unlocks new potential in quantum computers
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• Researchers present new diagnostic tool for laser-plasma accelerator using metal foil as 3D scanner

Hello, As a theoretical physicist, I can understand your dilemma in choosing between QFFF and Part III Applied Maths. Both courses are highly regarded and will provide you with a strong foundation in theoretical physics. However, there are some differences between the two that you should consider. Firstly, QFFF (Quantum Fields and Fundamental Forces) focuses more on the fundamental principles of quantum mechanics and field theory, while Part III Applied Maths covers a wider range of topics including advanced mathematical techniques and their applications in physics. So, if you have a strong interest in the mathematical aspects of theoretical physics, Part III Applied Maths may be a better fit for you. Secondly, as you mentioned, the exams at Cambridge are known to be more challenging. This can be a good thing as it will push you to strive for excellence and will prepare you for a career in research. However, it also means that the workload may be more intense and require a lot of dedication and hard work. In terms of reputation, both QFFF and Part III Applied Maths are highly regarded by the scientific community. Ultimately, what matters most is your passion and dedication towards the subject, rather than which course you choose. I personally have not done either of these courses, but I have colleagues who have and they have nothing but positive things to say about both. My advice would be to carefully consider your interests and goals, and choose the course that aligns best with them. Best of luck in your studies and future career in theoretical physics!  

Related to Imperial QFFF vs Cambridge Part III

1. what is the difference between imperial qfff and cambridge part iii.

Imperial QFFF and Cambridge Part III are both postgraduate programs in theoretical physics. The main difference is that Imperial QFFF focuses on quantum field theory, while Cambridge Part III covers a broader range of topics in theoretical physics.

2. Which program is more prestigious?

Both Imperial QFFF and Cambridge Part III are highly respected programs in theoretical physics. The prestige of each program may vary depending on personal opinions and individual research interests. Ultimately, it is important to choose a program that aligns with your academic goals and interests.

3. What are the admission requirements for these programs?

The admission requirements for Imperial QFFF and Cambridge Part III may differ slightly, but both programs typically require a strong undergraduate degree in physics or a related field, as well as a solid background in mathematics and theoretical physics.

4. Are there any notable alumni from these programs?

Yes, there are many notable alumni from both Imperial QFFF and Cambridge Part III. Some examples include Nobel Prize winners, renowned physicists, and successful researchers and academics in various fields of physics.

5. Can I switch between these programs during my studies?

It is possible to transfer from Imperial QFFF to Cambridge Part III or vice versa, but it is not a common practice. Transfers are subject to the approval of both programs and may also depend on the availability of spots and funding. It is best to discuss any potential transfers with your academic advisor or the program coordinators.

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