University Notes
DEVELOPMENTAL PSYCHOLOGY
Term paper on Developmental Psychology
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Python for Data Science
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The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data. This is where big data analytics comes into picture.
Big Data Analytics largely involves collecting data from different sources, merge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business. The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics.
63 Pages
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BIT 4102: COMPUTER GRAPHICS NOTES
Computer graphics are graphics created using computers and, more generally, the representation and manipulation of image data by a computer with help from specialized software and hardware. The development of computer graphics has made computers easier to interact with, and better for understanding and interpreting many types of data. Developments in computer graphics have had a profound impact on many types of media and have revolutionized animation, movies and the video game industry.
136 Pages
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SOCIAL INFORMATICS QUESTIONS AND ANSWERS
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Download questions and answers to social informatics and get yourself ahead of others.
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BBIT 3206: EVENT DRIVEN PROGRAMMING
An application is a collection of objects that work together to accomplish something useful. In Visual Basic(VB) the application is called a Project. A Project could be a the management of student records, banking application, Video store, the calculation of mortgages, a booking service or the Payroll system for employees etc.
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Web Application Security
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1.1 Definition of terms
There are several terms related to computer Security and Cryptography. In this section, we
briefly explain five major terms.
1.11 Computer security
Computer Security is the degree to which information systems are protected against
destruction, disruption, deletion, unauthorized access and unauthorized changes. The term
Cyber Security, Information System Security and System Security can be used interchangeably
for purposes of this unit.
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BIT 4108: INFORMATION SYSTEMS AUDIT
An IS audit is the process of collecting and evaluating evidence of an org IS, practices
and operations with a view of establishing whether they are inline with organizational
goals.
56 Pages
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BIT 1105: COMPUTER ARCHITECTURE NOTES
This document provides an instruction manual for a computer architecture course. It covers several topics related to computer hardware and software components.
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MIT 5101: COMPUTER APPLICATIONS IN EDUCATION
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This document provides an instruction manual for the course MIT 5101: Computer Applications in Education. It contains 9 chapters that cover topics such as the history of computers, basic computer hardware, software types, operating systems, word processing, spreadsheets, databases, presentations, and computer networks. Each chapter includes learning objectives, content explanations, and review questions. The manual aims to provide a comprehensive understanding of computers and their applications in education.
102 Pages
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BIT 4203: DISTRIBUTED MULTIMEDIA SYSTEMS
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Purpose of this course is to introduce the learners to Multimedia concepts, graphic design and application development. To specify, implement, test a multimedia system in business/industry.
161 Pages
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BFM 414: INTERNATIONAL FINANCE
International finance is branch of economics that studies the dynamics of exchanges rates, foreign investment and how these affect international trade. International finance covers all procedures, techniques and tools that financial institutions, such as banks and insurance companies provide to clients.
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The Rehabilitation of offenders
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Rehabilitation is “the idea that punishment can reduce the incidence of crime by taking a form which will improve the individual offender’s character or behaviour and make him or her less likely to reoffend in future”
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SMA 306: COMPLEX ANALYSIS 1
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The main goal of the module is to introduce analytic functions, which play a central role in complex analysis. The first objective of the module is to develop those parts of theory which are prominent in applications of the subject. The second objective is to furnish an introduction to applications of residues.
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Introduction to Medicine
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A simple introduction to medicine
19 Pages
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Types of Artificial Intelligence
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Buy "Types of Artificial Intelligence" now and learn about the diverse and dynamic categorization of AI based on capabilities and functionalities. This comprehensive book delves into the distinctions between Narrow AI, General AI, and Super AI, highlighting how these types of AI perform tasks with varying degrees of intelligence and autonomy. With detailed examples and engaging narratives, you'll explore real-world applications of Narrow AI, such as Apple's Siri and IBM's Watson, and understand the potential and challenges of developing General AI and Super AI.
Discover the fascinating functionalities of AI, including Reactive Machines, Limited Memory, Theory of Mind, and Self-Awareness. The book explains how each type operates, from reactive machines like IBM's Deep Blue to the hypothetical concept of self-awareness AI. With insights into the current state and future possibilities of AI, "Types of Artificial Intelligence" is an essential read for anyone looking to deepen their understanding of AI's diverse landscape and its impact on our world.
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Subsets of Artificial Intelligence
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Buy "Subsets of Artificial Intelligence" now and learn about the diverse and fascinating subsets that make up the field of AI. This comprehensive book explores key areas such as machine learning, deep learning, natural language processing, expert systems, robotics, machine vision, and speech recognition. With clear explanations and practical examples, you'll gain insights into how these subsets work together to create intelligent systems that can learn, understand, and interact with the world around them. Perfect for both beginners and seasoned professionals, this book provides valuable knowledge on the mechanisms driving AI.
Discover how machine learning algorithms allow systems to learn from historical data, how deep learning mimics the human brain's neural networks, and how natural language processing enables computers to understand human language. The book also covers the application of AI in robotics, expert systems, and machine vision, providing a thorough understanding of each subset's role and significance. "Subsets of Artificial Intelligence" is an essential read for anyone looking to deepen their knowledge of AI and its various components.
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Means-Ends Analysis in AI
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Buy "Means-Ends Analysis in AI" now and learn how to solve complex and large problems with a mixture of forward and backward reasoning techniques. This comprehensive book introduces the concept of Means-Ends Analysis (MEA), a problem-solving strategy that limits search in AI programs by first solving major parts of a problem and then addressing smaller subproblems as they arise. With practical examples and detailed explanations, you'll explore how MEA works by evaluating differences between the current state and goal state, and applying operators to reduce these differences, making it accessible to both beginners and seasoned professionals.
Dive into the fascinating world of Operator Subgoaling, where operators are selected, and subgoals are set up to establish the preconditions for solving a problem. The book covers the essential algorithm for MEA and provides real-world examples to illustrate its application in various AI-driven tasks. "Means-Ends Analysis in AI" is an essential read for anyone looking to deepen their understanding of AI's problem-solving techniques and apply these methods to tackle real-world challenges effectively.
4 Pages
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Hill Climbing Algorithm in AI
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Buy "Hill Climbing Algorithm in AI" now and learn how this powerful optimization technique can solve complex problems with ease. This comprehensive book delves into the intricacies of the hill climbing algorithm, a local search method that continuously moves towards higher elevations to find the optimal solution. Through detailed examples and practical applications, you'll explore how hill climbing is used to tackle mathematical challenges like the Traveling Salesman Problem. Perfect for both beginners and seasoned professionals, this book provides valuable insights into the algorithm's workings, its components, and various types, including simple, steepest-ascent, and stochastic hill climbing.
Discover the fascinating features of hill climbing, such as its greedy approach, generate and test variant, and state-space landscape. The book covers essential concepts like local and global maxima, plateaus, and ridges, and provides solutions to common problems encountered during the search process. By understanding these key elements, you'll be equipped to apply hill climbing algorithms to real-world scenarios and optimize your problem-solving strategies. "Hill Climbing Algorithm in AI" is an essential read for anyone looking to deepen their knowledge of AI's optimization techniques and enhance their analytical skills.
6 Pages
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Informed Search Algorithms in AI
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Buy "Informed Search Algorithms in AI" now and learn how advanced search techniques can efficiently navigate large and complex search spaces. This comprehensive book explores informed search algorithms, such as Best-First Search and A* Search, which utilize heuristic functions to guide the search process. Through clear explanations and practical examples, you'll gain insights into how these algorithms use knowledge like path cost and proximity to the goal to find solutions more effectively. This makes the book an invaluable resource for both beginners and seasoned professionals in the field of artificial intelligence.
Discover the power of heuristic functions in optimizing search strategies and minimizing exploration. The book covers essential concepts such as admissibility, heuristic cost, and evaluation functions, providing a solid foundation for understanding the mechanisms behind informed search algorithms. With detailed discussions on the advantages and limitations of these techniques, "Informed Search Algorithms in AI" equips you with the knowledge to apply these methods to solve real-world problems, ensuring you stay ahead in the ever-evolving field of AI.
7 Pages
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