IBM (ICE) PROGRAM HIGHLIGHTS

ABOUT IBM ICE PROGRAMS

The development in technology is always required to run parallel with the needs of a changing world, the traditional computer science programs are now outdated and deserve changes. Now, Students needs a specific and applied training for the better opportunity for the employment and employers also seeking for such industry ready candidates who contribute the employer business just after joining the industry without any training. Starex University-IBM-ICE Programs provides cutting-tech technological acquaintance and Industry-oriented training, with a high-tech model of delivery and the aspirants of this program strengthen with the requisite information and technical training to flourish in a exponential development and let them ready with high values to their employer.
Starex University-IBM Innovation Centre for Education is working for the development of advanced professionals with restructured courseware and end to end delivery mechanism which enable the aspirants to be proficient as possible for industry oriented skills through: unique global in depth professional content on the advanced techniques; project oriented and Lab based learning modules; emphasized on industry based curriculum with recurring interaction to the leading industries; encouragement of students by ‘Industry-Academia Collaboration Framework’; Intra college, inter college and global competition for over all development of the students.

BENEFITS OF IBM ICE PROGRAMS

IBM ICE Programs on Emerging Technologies are extremely intense and delivered in a ‘unique manner’ and as per IBM’s Global Standards. The uniqueness & novelty of IBM’s approach ensures that deep applied knowledge is delivered to students through numerous ‘student-centric’ initiates, which not only help students in their talent discoverability but also brings out excellence in students’ professional makeup-thus helping them to be ‘industry &future ready’. Few of such unique and novel initiatives are:

• In-depth and applied courseware exclusively available to Starex University students by IBM:
  1. The applied courseware is created exclusively for Starex University Students by industry experts and with inputs from IBMers from all over the world.  
  2. Vibrant Concurrency of Courseware.
  3. The subject material of the courses will be re analyzed periodically for their concurrency.
• In-depth training on in-demand cutting-edge technologies and access to world class e-learning ecosystem:
  1. Starex University and IBM collaboration will provide a next generation ecosystem knowledge platform for learning, which will benefit to the enrolled students and faculties (including Projects and industrial Internships and placements). 
• Project and Lab based learning:
  1. The collaborating program will be focused on projects and lab based learning modules. Theoretical part of the courses shall be improved by appropriate applied work and projects, which will be helpful to students to apply the learned knowledge.
• Subject Matter Experts Visits & Interaction:
  1. Starex University collaboration with IBM included scheduled visit of IBM experts, so that students can learn from their experiences and skills. 
  2. This shall be part of the IBM ICE’s futuristic online delivery framework –encouraging the concept of ‘Learn, Collaborate and Discover’
• A competitive frame over the globe candidates in Industry Interviews, Internships and International Contests:
  1. Starex University-IBM collaboration shall arrange IBM-ICE competitions where students can learn through Technical Poster/ Paper Competitions, Hackathons and Project Presentations.  
  2. These quality enhancing competitions will be conducted not only with in the country but also at global platform. 
• Globally Recognized Digital Badge for Students from IBM:

1. A unique IBM Digital Badge is issued by IBM to all graduating students.

• Availability of Mentors to IBM ICE Students at Starex University: 
  1. IBM Mentoring support to students for additional and expert knowledge will be available at Starex University..
• Industry Updates:
  1. The updates regarding industry shall be available time to time to the Starex University-IBM ICE students.
• Discussions Forums: 
  1. The program learning will be further implemented on the basis of structured discussion against relevant topics / subjects. 
• Quality Management Systems & Practices:
  1. Starex University-IBM shall constantly monitor the implementation of global best practices to ensure the best value of knowledge available to the students.

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  1. B. Tech in computer science and engineering with specialization in artificial intelligence and machine learning (In collaboration with IBM -ICE)




Subject's of IBM
S. No.	Subject	Semester	Lab Tools
1	Python Programming	I Semester	Python
2	Introduction to Artificial Intelligence Machine Learning	II Semester
3	Predictive Analytics	III Semester	Python
4	Machine Learning	IV Semester	Python
5	Deep Learning	V Semester	Hardware: Nvidia GPU: 8 GB+ GPU RAM, CPU RAM: 32 GB RAM+, i5/i7 System Software: OS - Ubuntu 16x, Nvidia CUDA Version - 10.0, Python 2.7.15 and 3.4+, nvidia-smi Python packages: Numpy version 1.15.4, Tensorflow version 1.12.0, Keras version 2.2.4, sklearn 0.19.2, Opencv (cv2 package) - version 3.4.5
6	Pattern Recognition and Anomaly Detection	VI Semester	Python, Jupyter IDE
7	Computational Linguistics and Natural Language Processing	VII Semester	Python 3, Jupyter Notebook
8	Application of Machine Learning in Industries	VIII Semester	Python
	Project	VIII Semester

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  1. MBA with specialization in Business Analytics ( In collaboration with IBM -ICE)




Subject's of IBM
S. No.	Subject	Semester	Lab Tools
1	Introduction To Business Analytics	I Semester
2	Predictive Analytics	II Semester	Python/R
3	Descriptive Analytics	II Semester	POWER BI
4	Analytics For Functional Areas (Sales & Marketing, Human Resource, Finance & Case Studies)	III Semester	Case Studies
	Project	IV Semester

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  1. BCA in collaboration with IBM (Cyber security & Advanced Studies & Research)



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  1. BBA collaboration with IBM (Data Analytics,Business Analytics, Financial Services & Banking, Advanced Studies & Research)