Develop Artificial Intelligence and machine learning Engineers to be technologically adept, innovative, self-motivated and responsible citizen with human values, high quality skills and to contribute significantly towards ever changing Artificial Intelligence and Machine learning Technologies.
| M1 | To provide opportunity to Diploma students who are capable of Playing pivotal role in wide aspects of Artificial Intelligence and Machine learning Technologies. |
| M2 | To make the students understand basic concepts underlie in Computer Engineering and able to apply them creatively in the fields of Artificial Intelligence and Machine Learning Technologies. |
| M3 | To train the student sensitive to the Environment, safety and Economic context. |
| M4 | To produce technically skilled students through intensive training in Artificial Intelligence and Machine learning Technologies tools and applications and to prepare the students for professional career and Further research. |
Computer Engineering programme is ever changing to transform students into competent professionals with qualities, ethics and human values . On completion of the integrated programme, the students should have acquired the following characteristics
| PROGRAMME EDUCATIONAL OBJECTIVIES (PEOs) Artificial Intelligence and Machine learning Engineering programme is ever changing to transform students into competent professionals with qualities, ethics and human values. On completion of the programme, the students should have acquired the following characteristics | |
| PE01 | To produce best Diploma in Artificial Intelligence and Machine learning technicians by correlating growing need of the industries In modern topics with the academic input and giving the technical knowledge for further learning. |
| PE02 | To prepare the students as productive Artificial Intelligence and Machine learning Engineers, possessing supportive and leaderships kill in multi-disciplinary domains, expertise in Practical orientation, Communication Skills and latest developments. |
| PEO3 | To give the depth of related skills and expertise in a single field, And the ability to collaborate with other disciplines and work at the Supervisory cadre. |
| PEO4 | To promote the students in professionalism, by successful completion of the Diploma IN Artificial Intelligence and Machine learning by emphasizing Field Practices in industry- oriented activities. |
| PEO5 | To sensitize the students on social and economic commitment and to inculcate a nature to guard the values of community and protect environment. |
| PSO1 | Foundation of Computer System: Ability to understand the principles and working of computer systems and can assess the hardware and software aspects of computer systems. |
| PSO2 | Foundations of Artificial Intelligence and Machine learning : Ability to understand the structure and development methodologies of Artificial Intelligence and Machine learning possess professional skills and knowledge of usage of Python in Artificial Intelligence and Machine learning. Familiarity and practical competence with a broad range of Python programming language and open source platforms |
| PSO3 | Foundation of Mathematical concepts: Ability to apply mathematical methodologies to solve computation task, model real world problem using appropriate data structure and suitable algorithm, methodologies in developing computer related problem solutions as well as apply the min establishing new firms in small scale with the help of experience gained as part of industrial training. |
| PO1 | Basic and Discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems. |
| PO2 | Problem analysis: Identify and analyse well-defined engineering problems using codified standard methods. |
| PO3 | Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified needs. |
| PO4 | Engineering Tools, Experimentation and Testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements. |
| PO5 | Engineering practices for society, sustainability and environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices. |
| PO6 | Project Management: Use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well- defined engineering activities. |
| PO7 | Life-long learning: Ability to analyse individual needs and engage in updating in the context of technological changes. |
PACE INSTITUTE OF TECHNOLOGY AND SCIENCES (PACE ITS), established Under Srinivasa Educational Society in 2008 at Valluru village near Ongole.It has been running successfully since the academic year 2008-09. PACE, being an NRI's project, is committed to create world class technocrats.
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