IGNOU MCA Mobile Computing Previous Year Unsolved Papers MCS 231
By Manish Soni
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About this ebook
The study of algorithms is fundamental to the field of computer science and engineering, and it forms the backbone of software development, data processing, and problem-solving. The course MCS-211: Design and Analysis of Algorithms, offered by the Indira Gandhi National Open University (IGNOU), is pivotal for students pursuing a degree in computer science. The rigorous curriculum of this course requires students to not only understand the theoretical aspects of algorithms but also to apply this knowledge in solving complex computational problems. To assist students in their journey of mastering this subject, this book presents a comprehensive collection of previous years' unsolved papers of the MCS-211 course.The rationale behind compiling these unsolved papers is to provide students with a valuable resource that will enhance their understanding of the subject and prepare them effectively for examinations. These papers serve as an essential tool for self-assessment, allowing students to gauge their knowledge, identify areas that require further study, and practice solving problems within the time constraints typically imposed by examinations. Moreover, working through these papers helps students develop the analytical thinking and problem-solving skills necessary to excel in the field of algorithms.
This book is meticulously organized to cater to the needs of students at various levels of understanding. Each paper included in this compilation is carefully selected from different years to represent a broad spectrum of topics covered in the MCS-211 syllabus. The problems range from basic algorithmic challenges to more complex scenarios that test a student’s ability to design efficient and effective algorithms. By attempting these unsolved papers, students will not only reinforce their theoretical knowledge but also gain hands-on experience in tackling real-world algorithmic problems.In addition to serving as an academic resource, this book is also intended to instill confidence in students as they prepare for their examinations. The exposure to a variety of problems will familiarize students with the types of questions that are likely to appear in exams, enabling them to approach their studies with a strategic mindset. This book encourages a deeper exploration of the subject, prompting students to engage with the material beyond the standard textbook content and to think critically about the design and analysis of algorithms.
We would like to express our gratitude to the students and educators who have contributed to the development of this book. Their insights and feedback have been invaluable in ensuring that this compilation meets the highest standards of academic excellence. As you embark on your journey through the world of algorithms, we hope that this book will be a reliable companion in your studies, helping you to unlock the full potential of your capabilities in the field of computer science.
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IGNOU MCA Mobile Computing Previous Year Unsolved Papers MCS 231 - Manish Soni
IGNOU MCA Mobile Computing Previous Year Unsolved Papers MCS 231
Manish Soni
PREFACE
The study of algorithms is fundamental to the field of computer science and engineering, and it forms the backbone of software development, data processing, and problem-solving. The course MCS-211: Design and Analysis of Algorithms, offered by the Indira Gandhi National Open University (IGNOU), is pivotal for students pursuing a degree in computer science. The rigorous curriculum of this course requires students to not only understand the theoretical aspects of algorithms but also to apply this knowledge in solving complex computational problems. To assist students in their journey of mastering this subject, this book presents a comprehensive collection of previous years' unsolved papers of the MCS-211 course.The rationale behind compiling these unsolved papers is to provide students with a valuable resource that will enhance their understanding of the subject and prepare them effectively for examinations. These papers serve as an essential tool for self-assessment, allowing students to gauge their knowledge, identify areas that require further study, and practice solving problems within the time constraints typically imposed by examinations. Moreover, working through these papers helps students develop the analytical thinking and problem-solving skills necessary to excel in the field of algorithms.
This book is meticulously organized to cater to the needs of students at various levels of understanding. Each paper included in this compilation is carefully selected from different years to represent a broad spectrum of topics covered in the MCS-211 syllabus. The problems range from basic algorithmic challenges to more complex scenarios that test a student’s ability to design efficient and effective algorithms. By attempting these unsolved papers, students will not only reinforce their theoretical knowledge but also gain hands-on experience in tackling real-world algorithmic problems.In addition to serving as an academic resource, this book is also intended to instill confidence in students as they prepare for their examinations. The exposure to a variety of problems will familiarize students with the types of questions that are likely to appear in exams, enabling them to approach their studies with a strategic mindset. This book encourages a deeper exploration of the subject, prompting students to engage with the material beyond the standard textbook content and to think critically about the design and analysis of algorithms.
We would like to express our gratitude to the students and educators who have contributed to the development of this book. Their insights and feedback have been invaluable in ensuring that this compilation meets the highest standards of academic excellence. As you embark on your journey through the world of algorithms, we hope that this book will be a reliable companion in your studies, helping you to unlock the full potential of your capabilities in the field of computer science.
Table of Contents
Chapter 1: Term-End Examination, December, 2022
Chapter 2: Term-End Examination, June, 2023
Chapter 3: Term-End Examination, December, 2023
Chapter 4: Most Asked Questions Part-A
Chapter 5: Most Asked Questions Part-B
Master In Computer Application (MCA)
Chapter 1: Term-End Examination, December, 2022
MCS-231: Mobile Computing
Time: 3 Hours
Maximum Marks: 100
Note: Question No. 1 is compulsory and carries 40 marks. Attempt any three questions from the rest.
1. (a) What is Frequency Division Multiplexing (FDM)? What are its advantages, disadvantages and applications? 10
(b) What is GPRS? Explain its features. Also, list the services offered by it. 10
(c) What is LTE? Explain its features. 10
(d) Write a short note on the Adhoc Networks. 10
2. (a) What is a cellular network? Explain its various components. 10
(b) Explain mobile computing architecture with the help of a diagram. 10
3. (a) List any five applications of mobile computing. 10
(b) Explain J2EE architecture. 10
4. (a) Explain the functions of a mobile operating system. 10
(b) Explain the features of an integrated development platform for mobile apps. 10
5. (a) Explain the features of iOS. 10
(b) Explain the features of XML. 10
Master In Computer Application (MCA)
Chapter 2: Term-End Examination, June, 2023
MCS-231: Mobile Computing
Time: 3 Hours
Maximum Marks: 100
Note: Question No. 1 is compulsory and carries 40 marks. Attempt any three questions from the rest.
1. (a) What is Time Division Multiplexing (TDM)? What are the advantages, disadvantages and applications? 10
(b) What is GSM technology? Explain its advantages and disadvantages. 10
(c) What is a 4G network? Explain its features. 10
(d) What is WIMAX? Explain its features. 10
2. (a) What is Data Synchronization? Explain it. 10
(b) Write a short note on Mobile Commerce. 10
3. (a) Draw and explain Android architecture. 10
(b) Explain various components of J2ME. 10
4. (a) What is guided transmission? How does it differ from unguided transmission? Give example(s). 10
(b) Explain any two reasons for weakening of figural strength after transmission. 10
5. (a) What is an antenna? What is its functionality? On what factor(s) does its size depend on? 10
(b) What is CDMA? How does it differ from GSM? 10
Master In Computer Application (MCA)
Chapter 3: Term-End Examination, December, 2023
MCS-231: Mobile Computing
Time: 3 Hours
Maximum Marks:100
Note: Question No. 1 is compulsory and carries 40 marks. Attempt any three questions from the rest.
1. (a) What is Time Division Multiplexing (TDM)? What are its advantages, disadvantages and applications? 10
(b) What is a Cellular Network? Under what conditions frequency reuse is possible by different cells in the network? 10
(c) What are Smart Sensors? What are the instances where mobile devices interact with their surroundings with the help of sensors? 10
(d) Write a short note on Mobile Device Database Management. 10
2. (a) List various steps in the development of a Mobile App. What are the various components of an Enterprise Mobile Application? 10
(b) Write a short note on XML. 10
3. (a) What is J2ME? Explain main components of J2ME. 10
(b) Write a short note on Android. 10
4. (a) Explain the features of integrated development platforms that are used for Mobile App development. 10
(b) Explain any five features of Mobile Communications. 10
5. (a) Explain the design considerations for Mobile Computing. 10
(b) Write a short note on Smart Appliances. 10
Chapter 4: Most Asked Questions Part-A
1. What is mobile computing, and why has it become essential in modern technology?
Answer: Mobile computing refers to technology enabling transmission of data, voice, and video via mobile devices without being connected physically to a network. It involves devices such as smartphones, tablets, laptops, and portable computers. Mobile computing has become essential today due to the increasing need for constant connectivity, mobility, and access to information anytime and anywhere. It supports real-time data access, enhancing productivity and responsiveness in professional settings. Moreover, it facilitates seamless communication, collaboration, and social interaction among users globally. The proliferation of cloud computing services and wireless technologies such as Wi-Fi, LTE, and 5G has further accelerated its significance, providing a robust infrastructure for mobile computing solutions.
2. Explain the concept of location-based services (LBS) in mobile computing.
Answer: Location-based services (LBS) are applications that utilize geographical positioning data to provide information or functionalities tailored specifically to a user's current location. In mobile computing, LBS rely primarily on technologies like GPS (Global Positioning System), Wi-Fi, cell towers, or Bluetooth beacons to determine a user's geographical coordinates. Common examples of LBS include navigation systems, social media location tagging, geotargeted advertising, and real-time tracking services. LBS enhances user experiences by offering personalized content and services relevant to their immediate surroundings. Businesses leverage location-based services to provide targeted marketing and improve customer engagement. Privacy and security concerns are critical in LBS due to sensitive location data usage, necessitating strong data protection and privacy practices.
3. Differentiate between mobile computing and wireless computing.
Answer: Mobile computing refers specifically to computing activities enabled through portable or mobile devices that users can carry, such as smartphones, tablets, and laptops. It emphasizes mobility and portability, allowing users access to computing resources irrespective of their physical location. Wireless computing, however, pertains strictly to computing over wireless networks and does not necessarily require mobility. It can involve stationary devices that connect wirelessly to networks via Wi-Fi or other wireless technologies. Thus,