Woxsen University PhD in Intelligent Systems Admission 2024-25, Process, Books, Learn More About Courses

Intelligent Systems About,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities,Top College in india

Intelligent systems, also known as artificial intelligence (AI) systems, are computer-based technologies that simulate human intelligence and cognitive abilities such as perception, reasoning, learning, and decision-making. These systems are designed to perform tasks that typically require human-like intelligence, such as speech recognition, natural language processing, image recognition, and problem-solving.

Intelligent systems can be categorized into several types based on their functionality and level of complexity. Some of the most common types of intelligent systems include:

Expert Systems: These systems are designed to mimic the decision-making abilities of human experts in a particular domain or field.

Neural Networks: These systems are based on the structure and function of the human brain and are designed to recognize patterns in data.

Fuzzy Logic Systems: These systems are used to handle uncertain or imprecise information by assigning degrees of truth to statements.

Genetic Algorithms: These systems use principles from evolutionary biology to optimize solutions to problems.

Robotics: These systems use AI and other technologies to control and operate autonomous machines, such as robots.

Intelligent systems are used in a wide range of applications, including healthcare, finance, transportation, and entertainment. As AI technology continues to advance, the potential for intelligent systems to transform many industries and aspects of daily life is enormous.

Intelligent Systems Highlights

Here are some of the highlights of intelligent systems:

Automation: Intelligent systems are capable of automating routine, repetitive, and mundane tasks, freeing up humans to focus on more creative and strategic work.

Decision-making: Intelligent systems can make decisions based on data analysis, learning from previous decisions, and adapting to new situations.

Personalization: Intelligent systems can personalize experiences for individual users based on their preferences, history, and behavior, improving user satisfaction and engagement.

Predictive analytics: Intelligent systems can analyze data to predict future trends, behaviors, and outcomes, helping businesses make informed decisions and optimize operations.

Natural language processing: Intelligent systems can understand and interpret human language, enabling communication and interaction with humans in a more natural way.

Image and voice recognition: Intelligent systems can recognize and identify images and voices, improving security, surveillance, and automation applications.

Medical diagnosis and treatment: Intelligent systems can help healthcare professionals diagnose diseases, identify potential treatments, and personalize patient care.

Autonomous vehicles: Intelligent systems can operate vehicles without human intervention, improving safety, efficiency, and convenience.

Financial forecasting and trading: Intelligent systems can analyze financial data to forecast trends and optimize trading strategies.

Entertainment: Intelligent systems can create personalized recommendations for movies, music, and books, as well as create new art and music compositions.

It is important to note that the requirements for entrance exams, admission, eligibility, duration, selection criteria, and how to apply for a program related to intelligent systems may vary depending on the specific institution and program. However, here are some general guidelines:

Intelligent Systems Entrance Exams:

Some institutions may require applicants to take an entrance exam such as GRE or GMAT. These exams typically test the applicant's analytical and quantitative skills.

Intelligent Systems Admission:

Applicants must meet the admission requirements of the institution offering the program. This may include having a bachelor's degree in a related field, meeting a minimum GPA requirement, and submitting letters of recommendation, a personal statement, and a resume.

Intelligent Systems Eligibility:

To be eligible for a program in intelligent systems, applicants should have a strong background in computer science, mathematics, and statistics. Some programs may also require a background in artificial intelligence, machine learning, or related fields.

Intelligent Systems Duration:

The duration of a program in intelligent systems may vary depending on the level of the program. A bachelor's degree program typically takes four years to complete, while a master's degree program takes two years. A PhD program may take four to six years to complete.

Intelligent Systems Selection Criteria:

In addition to meeting the admission requirements, institutions may consider other factors when selecting applicants, such as their academic background, relevant work experience, research interests, and potential to contribute to the field of intelligent systems.

Intelligent Systems How to Apply:

Applicants should check the application process and deadlines of the institution offering the program. Typically, applicants need to submit an online application form and provide official transcripts, test scores, letters of recommendation, a personal statement, and a resume. Some programs may require an interview as part of the application process.

It is important to research the admission requirements and application process of the specific program and institution to ensure a successful application.

Intelligent Systems Application Form and Process:

To apply for a program in intelligent systems, applicants need to follow the application process of the institution offering the program. Typically, applicants need to fill out an online application form and provide official transcripts, test scores, letters of recommendation, a personal statement, and a resume. Some programs may require an interview as part of the application process. Applicants should check the admission requirements and deadlines of the specific program and institution.

Intelligent Systems Fee:

The application fee for a program in intelligent systems varies depending on the institution and program. It is recommended to check with the institution for the exact fee.

Intelligent Systems Syllabus:

The syllabus for a program in intelligent systems may vary depending on the institution and program. However, some of the common topics covered in such a program include:

Artificial Intelligence

Machine Learning

Neural Networks

Fuzzy Logic

Expert Systems

Robotics

Natural Language Processing

Computer Vision

Data Mining and Analysis

Decision Making

Optimization Techniques

Autonomous Systems

Intelligent Systems Salary and Jobs:

Graduates of a program in intelligent systems can pursue various career opportunities in different industries. Some of the common job roles for graduates include:

AI/Machine Learning Engineer

Data Scientist

Robotics Engineer

Natural Language Processing Engineer

Computer Vision Engineer

Autonomous Systems Engineer

Business Intelligence Analyst

Research Scientist

Software Developer

The average salary for these job roles varies depending on the industry, job role, and location. However, in general, graduates of a program in intelligent systems can expect to earn a competitive salary.

Intelligent Systems Career Opportunities:

Intelligent systems is a rapidly growing field with numerous career opportunities. Graduates of a program in intelligent systems can work in various industries, including healthcare, finance, transportation, entertainment, and more. Some of the common job roles for graduates include AI/Machine Learning Engineer, Data Scientist, Robotics Engineer, Natural Language Processing Engineer, Computer Vision Engineer, Autonomous Systems Engineer, Business Intelligence Analyst, Research Scientist, and Software Developer.

Intelligent Systems Top Colleges:

Some of the top colleges for programs in intelligent systems include:

Massachusetts Institute of Technology (MIT)

Stanford University

Carnegie Mellon University

University of California, Berkeley

Georgia Institute of Technology

California Institute of Technology (Caltech)

University of Michigan-Ann Arbor

University of Texas at Austin

University of Illinois at Urbana-Champaign

University of Washington

It is important to research and compare different programs and institutions to find the best fit for your career goals and interests.

PH.D. ADMISSION PROCEDURE

1. Application for the entrance exam 
2.  Result declaration
3. Entrance pass scholar calling for the interview and document verification
4. Provisional registration for pre Ph.D. course work classes
5. Coursework classes shall be attended as scheduled by University
6. Course work examination
7. Result declaration of coursework
8. Submission of synopsis ( 2 spiral bound copies with soft copy of synopsis)
9. Departmental research committee meeting scheduled by University
10. A registration letter shall be issued
11. Research work started by scholar
12. 6 progress reports shall be submitted
13. Soft copy thesis submit
14. plagiarism report check by the university
15. Final after the plagiarism report soft copy thesis shall be sent to experts for evaluation
16. After the consent of experts pre-submission, one set spiral binding shall be submitted
17. After the successful presentation of the pre-submission thesis 3 copies of hard bound thesis shall be  submitted
18. Viva shall be conducted as scheduled by University, Degree Awarded.

DOCUMENTS CHECKLIST

1.  Documents (10th onwards)
2. Aadhar Card/Pan Card, Caste Certificate
3. Migration Certificate (Original)
4. NOC (From Organization/ Institute/ University)
5. Affidavit (undertaking)
6. Guide Willing
7. Assignments
8. Synopsis (3 copies), Progress Report
9. Library No Dues
10. Lab Letter
11. Thesis Hard copy (Spiral binding)
12. No Dues, Thesis (6 hard copies)
13. Affidavit -Submission (on Rs 100 Stamp and Notary Attested)
14. C.D Soft copies (Thesis & Synopsis)
15. Conference Certificate - 2
16. Research Papers -2 (with ISSN No.)
17. summary (page limit 20-30) -3 Copies 
18. Plagiarism Report Below 10%

FAQs About Ph.D. Program 

Q.1 - What is the procedure for Ph.D.? Admission to the University?

ANSWER: - The Ph.D. and M.Phil. programs of prestigious Universities are conducted and guided strictly as per the provisions and regulations dictated by the UGC (Minimum Standards and Procedure for Award of Ph.D./M.Phil. Degrees) (1st Amendment) Regulations, 2018 and subsequent amendments. The entire procedure for admission to the research programs encompasses a Research Entrance Exam (RET) and then an Interview/Viva Voce. The performance of a candidate in the RET is given 70% weightage, and the remaining 30% weightage is given to his/her performance at the Interview.

Q.2 - What are the modes of pursuing M.Phil. & Ph.D. programs at the University?

ANSWER: -Both the full-time and part-time modes are available at University for pursuing its Ph.D. programs and only the full-time mode is available for M.Phil. program in the desired subjects/fields. These highly-qualitative and prolific research programs are available in a rather broad range of fields/subjects. At University, the minimum time duration of the M.Phil. and Ph.D. programs is 1.5 Years and 3 Years, respectively, in general.

Q.3 - Are the Ph.D. and M.Phil. Degrees granted by any University valid abroad?

ANSWER: -Yes, of course. If the University is properly recognized under section 2(f) of the UGC Act of 1956 and is a prestigious member of the AIU (the Association of Indian Universities). It is an M.Phil. and Ph.D. degrees granted in various fields/subjects are duly valid across India and the world.

Q.4 - What are the main eligibility criteria for participating in the University Research Entrance Exam (RET)?

ANSWER: -The following are the main eligibility conditions for participating in the RET: - A rigorous Master’s Degree in the proposed subject/field obtained from any recognized university/institution located in India or abroad, with a minimum 55% marks in aggregate or an equivalent grade. Candidates belonging to SC/ST/OBC/Differently-abled categories are given a 5% relaxation in respect of this eligibility criterion. Candidates with an M.Phil. degree in the proposed field/subject, or have qualified for the UGC (JRF) Examinations/ NET/ SET/ SELT, etc., will be allowed to appear directly for the interview, without appearing in the RET. Impressive academic records, and any prior experience in research work, will be given additional advantages.

Q.5 - What relaxations are granted to the reserved categories for Ph.D.? Admission to the University?

ANSWER: - Candidates belonging to the categories of SC/ST/OBC (Non-Creamy layer)/Differently-Abled, and so on, are given all relaxations prescribed by the Govt. of India and the UGC. These relaxations are provided in form of 5% reduced marks for them at post-graduation, and also in the minimum qualifying marks at RET. Thus, candidates belonging to these categories only need to score a minimum of 45% marks at RET, to qualify for the final interview.

Q.6 - How will be the pattern of RET?

ANSWER: - The syllabus or pattern of RET consists of subject-specific matters, research methodology, and aptitude (covering logical reasoning, numerical ability, analytical reasoning, statistics, etc.).Thus, RET will contain a total of 70 multiple-choice questions (MCQs).

Q.7 - Are M.Phil. Holders/UGC- NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE exempted from appearing at RET?

ANSWER: - Yes. The holders of M.Phil. degrees in their respective fields/subjects are made exempt from appearing in RET. The same is the situation in cases of aspiring candidates who have qualified exams like UGC-NET (including JRF)/ UGC-CSIR NET (including JRF)/ SLET/ GATE, etc.

Q.8 - How is the application fee paid?

ANSWER: - The Application Fee (i.e. the fee for getting participated in RET) can be paid online or offline, like the Application Form. Payment Modes: DD (in Favor of the University) / NEFT/ Cash Deposit.

Q.9 - Do working candidates require to obtain NOC from employers for pursuing research at any University?

ANSWER: - Yes, necessarily. Working Professionals who are interested in research at any University are required to obtain the NOC (No Objection Certificate) from their respective employers, in order to avert any intrusion ever during the entire doctoral course.

Q.10 - Does an M.Phil. holder require to undergo Ph.D. coursework?

ANSWER: - Yes. M.Phil. holders are again required to undergo the coursework in Ph.D. at some Universities. However, their prior knowledge in the field/subject will be very supportive to them for learning and performing efficiently during the Ph.D. program.

Q.11 - Can I pay the yearly program/course fee in installments?

ANSWER: - Yes, you can pay the yearly course fee as many as in two installments, but well within the yearly session.

Q.12 - Does Any University provide any scholarship or stipend to pursuing scholars?

ANSWER: - Yes, of course. Many Universities offer scholarships as well as stipends to meritorious and talented candidates who undertake research studies at the University. Scholarships are granted to those candidates who come under the top 21 by scoring higher marks in RET and interviews. And, stipends are provided to those scholars who also give lectures to UG or PG students at the University, in addition to doing their Ph.D. coursework. The amount of the monthly stipend will be commensurate with the candidate’s qualifications and capabilities and may go up to Rs. 20,000.

Q.13 - What other many facilities are provided to research scholars at the University Campus?

ANSWER: - All necessary and constructive resources, amenities, and facilities are offered by well-established and prestigious universities to research scholars in various streams/subjects. These facilities include the following - spacious and peaceful study rooms, erudite and well-experienced academicians and research experts, Wi-Fi and diverse IT devices, state-of-the-art laboratories, well-stocked libraries, lavish R&D amenities, separate amenities for lodging and foods for male and female candidates, peaceful and constructive environment within the university campus, and many other comforting and convenient facilities and services.