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FES GIKI
Pakistan
Приєднався 8 лис 2021
FAQ-1: What is Engineering Sciences at GIK Institute?
Engineering Sciences (ES) is a PEC-accredited Multidisciplinary Engineering Program that offers you the opportunity to prepare yourself for some of the most modern fields of engineering including Data Analytics, Smart Devices, Modern Instrumentation, and Communication Technologies.
FAQ-2: What Distinguishes the Engineering Sciences Program from other Engineering Programs?
The key distinguishing feature of the ES program is that it allows students to choose their direction after two years. By joining the ES program, you get the opportunity to learn basic sciences, engineering, and computing common to most modern engineering programs in the first two years. Then, having carefully gauged your aptitude and interests, you can choose either to go for the hardware (e.g., sensors/systems of a Smart Car) of modern tech, or its brain (e.g., algorithms/AI for Smart Car).
Engineering Sciences (ES) is a PEC-accredited Multidisciplinary Engineering Program that offers you the opportunity to prepare yourself for some of the most modern fields of engineering including Data Analytics, Smart Devices, Modern Instrumentation, and Communication Technologies.
FAQ-2: What Distinguishes the Engineering Sciences Program from other Engineering Programs?
The key distinguishing feature of the ES program is that it allows students to choose their direction after two years. By joining the ES program, you get the opportunity to learn basic sciences, engineering, and computing common to most modern engineering programs in the first two years. Then, having carefully gauged your aptitude and interests, you can choose either to go for the hardware (e.g., sensors/systems of a Smart Car) of modern tech, or its brain (e.g., algorithms/AI for Smart Car).
Mathematics for Machine Learning | Lec 18 | Probability | Part II
ES691 Mathematics for Machine Learning [Fall'24]
Dr. Naveed R. Butt
Dean | Faculty of Engineering Sciences | GIK Institute
www.linkedin.com/in/naveedrazzaqbutt
giki.edu.pk/fes/
Dr. Naveed R. Butt
Dean | Faculty of Engineering Sciences | GIK Institute
www.linkedin.com/in/naveedrazzaqbutt
giki.edu.pk/fes/
Переглядів: 49
Відео
Mathematics for Machine Learning | Lec 17 | Probability | Part I
Переглядів 15414 днів тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
Mathematics for Machine Learning | Lec 15| Matrix Decomposition
Переглядів 8121 день тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
Mathematics for Machine Learning | Lec 16 | Vector Calculus
Переглядів 15421 день тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
Mathematics for Machine Learning | Lec 14 | Analytical Geometry | Part II
Переглядів 22121 день тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
Mathematics for Machine Learning | Lec 13 | Analytical Geometry | Part I
Переглядів 7521 день тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
6 Binomial Distribution
Переглядів 15Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
5 Mean and Varaince of Random Variable
Переглядів 35Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
4 Continous Probability Distributions
Переглядів 16Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
Mathematics for Machine Learning | Lec 12 | Linear Algebra | Part V
Переглядів 245Місяць тому
ES691 Mathematics for Machine Learning [Fall'24] Dr. Naveed R. Butt Dean | Faculty of Engineering Sciences | GIK Institute www.linkedin.com/in/naveedrazzaqbutt giki.edu.pk/fes/
3 Discrete Probability Distributions
Переглядів 10Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
2 Combinations and Permutations part2
Переглядів 6Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
1 Combinations and Permutations part1
Переглядів 19Місяць тому
ES111 Tutorials | Probability and Statistics Dr. Tahir Naseem | Faculty of Engineering Sciences GIK Institute giki.edu.pk/fes/
2 Electrostatic Summary
Переглядів 18Місяць тому
ES371 Tutorials | Engineering Electromagnetics Dr. Tahir Naseem Faculty of Engineering Sciences | GIK Institute giki.edu.pk/fes/
3 Coulomb's Law
Переглядів 6Місяць тому
ES371 Tutorials | Engineering Electromagnetics Dr. Tahir Naseem Faculty of Engineering Sciences | GIK Institute giki.edu.pk/fes/
12 System of first order differential equations repeated eigenvalues
Переглядів 35Місяць тому
12 System of first order differential equations repeated eigenvalues
11 System of first order differential equations complex eigenvalues
Переглядів 22Місяць тому
11 System of first order differential equations complex eigenvalues
9 System of first order differential equations Introduction
Переглядів 26Місяць тому
9 System of first order differential equations Introduction
10 System of first order differential equations Solution Recipe
Переглядів 19Місяць тому
10 System of first order differential equations Solution Recipe
Sir ap konsi book ko follow kr rhy Hain ? Author?
Very nice work!! Greetings from Brazil
Thank you for this fantastic video! Your explanation of the mathematical concepts in machine learning made everything so clear and accessible. I really appreciate the effort you put into making these complex topics easier to understand. Looking forward to more content like this.
Sir if you share the class board where u explain the function or any topic which will very helpful for us . Thank u sir ❤
is it an undergraduate course or a graduate course at FES?
fascinating name, IMLI, and the objective of exploring and enhancing the mathematics behind different ML models and finding solutions to disciplinary problems, great initiative Naveed sir.
Sir why pakistani faculty boast of setting quiz or exam setting to most difficult and boast ma paper bura okha bunaya hul kuro ga ta lug puta jae ga . This is not the practice in modern countries to pressuries students . If are brightest students sre not able to attempt it then problem is with teacher who was not able to explain concept. I have seen v logs of a proffesser of lums she is relating this practice in even most reputable insitutions of pakistan hope this will not be the case in ur estermed leadership in giki.
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There should be a proper video about MS in FES. Career paths and insights about Applied mathematics and physics individually at giki.
Cs. Ka nhe btaya
CS is a separate faculty. Google FCSE GIKI to find their webpage/info.
Good one 👏
💎💎
how can i contact you
GREAT TEACHER
Sir, In the last two lectures, video is getting out of sync with sound. can you please improve the recording quality.
That was a very insightful presentation
Dr. Shabeela great to hear you after a long time. Very much interesting topic. Please also shed light on the laboratory experiments. thanks 👍
What a nostalgic sight !! Nicely delivered talk 👍
Dr. Shabeela, Very nice and comprehensive talk, keep it up.
Great explanation Dr. Shabeela...Could you please upload another video explaining the industrial applications of this field? Thanks
Very insightful!
Quiet informative
Dr. Shabeela, very nice talk.
My sis proud of u
Great initiative by FES! Brings much-needed round-the-clock access to students.
this is a great initiative. FOr the benefit of general students outside, my suggestion would be to package material into playlist and using more of demonstrations.
👍
Right said sir👍
If i do compare this with ordinary Indian Lecture on the same subject, I am free to write that not Hard Work is being put in lecture preparation. What will we do these engineers in industry except having another layer of bureaucrats to deal with foreign technology providers.