| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DSCM404 SUPPLY CHAIN COST MANAGEMENT |
Assignment Set – 1
Q.1. What is Cash to Cash Cycle and why is it important? Discuss the various challenges faced in managing cash to cash cycle and what are the strategies to control it. (6+4 = 10 Marks)
Ans 1.
Cash to Cash Cycle
This Cash to Cash (C2C) cycle, sometimes called the cash conversion cycle is a financial measurement which measures the number of days between the time in which a firm pays cash for its inventory or raw materials to the point at which it receives cash from customers for the goods it’s delivered. It is calculated as Days Inventory Outstanding plus Days sales outstanding minus days payable outstanding. A lower C2C cycle indicates that the company converts its inventory investments and receivables to
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Q.2. What is the significance of non-financial performance measurement and what are the key dimensions of non-financial performance measurement? List some of the challenges in non-financial performance management. (7+3 = 10 Marks)
Ans 2.
Significance of Non-Financial Performance Measurement
Non-financial performance measurement is using qualitative as well as quantitative indicators which are not quantified in monetary terms to determine the health, capability, and long-term sustainability of an organisation or the supply chain. While financial metrics such as profits, ROI and cost-cutting
Q.3. Explain in detail the Eight-step Process of AIM and DRIVE. (10 Marks)
Ans 3.
AIM and DRIVE are a structured eight-step method used in the management of supply chain costs to identify, analyze, and eliminate cost from supply chain operations while improving efficiency and service quality. It provides a disciplined system that stops organizations to pursue cost-cutting with no focus or in a reactive way and helps ensure the savings are quantified, sustained, and aligned
Assignment Set – 2
Q.4. Discuss the different types of Primary, Secondary and Tertiary Costs of any supply chain. What are the key challenges and considerations in implementing allocation-based systems for cost measurement? (7+3 = 10 Marks)
Ans 4.
Primary, Secondary, and Tertiary Supply Chain Costs
Supply chain costs are structured into three levels based on the proximity of their costs to primary supply chain operations as well as the ease with which they can be attributed to specific outcomes.
Primary
Q.5. How can organisations effectively select key cost drivers within their supply chain and manage their overall cost structure? (10 Marks)
Ans 5.
Cost driver selection that is effective and effective cost structure management is the most important thing for businesses looking to maintain and achieve high-quality cost positions within their supply chains. Cost drivers refer to any variable that has the potential to cause changes in the overall price of a supply chain activity or procedure. Recognizing the appropriate cost drivers is the first step to take
Q.6. Discuss some of the constraints in Supply Chain Management and what impact do they have on overall SCM? (10 Marks)
Ans 6.
Supply chain management works within a complex web of constraints that limit the options available to managers and impose trade-offs between competing objectives. It is vital to understand these constraints in the development of efficient supply chain strategies, and making sound operational decisions. The types of constraints can be classified into physical, financial, or regulatory,
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DSCM403 PURCHASING AND CONTRACTING FOR PROJECTS |
Assignment Set – 1
Q.1. Explain the concept of Procurement. Also, describe various types of Procurement in detail. (4+6 = 10 Marks)
Ans 1.
Concept of Procurement
Procurement is the structured process through which an organization determines the need for products and services and selects the most suitable supplier through an evaluation method that is clearly defined negotiation and agreement on details; and then manages the acquisition of those goods and services or work to fulfil organisational objectives. The process goes well beyond basic purchasing by encompassing strategic planning, supplier relationship management, risk assessment contract negotiation and post-contract evaluation of performance. In project environments, procurement is
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Q.2. What do you mean by Contracting Strategies? Discuss the various contracting strategies organisations should follow. (3+7 = 10 Marks)
Ans 2.
Contracting Strategies
Strategies for contracting define the way the company adopts to arrange contracts with contractors, suppliers or service providers in such a way that achieves the desired outcomes by ensuring that risk is evenly distributed between the two parties. A contracting plan goes well beyond choosing a specific type of contract and includes decisions concerning the nature of contract work and the amount of contractors who will be involved as well as the foundation of payments, the risk
Q.3. Detail the concept of Contract Law. Further, explain the structure of the agreement. (3+7 = 10 Marks)
Ans 3.
Concept of Contract Law
The law of contract is the collection of legal principles and rules that govern the formation, interpretation, performance or breach as well as enforcement of contracts between parties. Contracts are legally binding agreement with two or more persons that establishes mutual obligations, which are enforced under the law. If a contract is to legally valid in the majority of legal regimes,
Assignment Set – 2
Q.4. Discuss the concept of Tender List, while explaining the various pros and cons of Prequalification. (2+4+4 = 10 Marks)
Ans 4.
Concept of Tender List
A tender list, sometimes called a bid list, is a pre-approved list of contractors and suppliers that can be invited to submit competing proposals or bids for an opportunity for procurement. A tender list can come from a pre-approved panel of suppliers established through an initial
Q.5. Explain the concept of Procurement Incentives. Detail the various incentive procurement strategies. (3+7 = 10 Marks)
Ans 5.
Concept of Procurement Incentives
The procurement incentives are a set of financial and non-financial mechanisms built into procurement and contract strategies in order to coordinate the conduct and actions of the suppliers as well as contractors with the objectives of the buyer. It is the principle that commercial relationships are most efficient when both parties profit from good outcomes while sharing any negative consequences. Contracts that simply shift risk onto the supplier, without offering the
Q.6. What do you mean by Contract Management? Also, explain the various Advantages and Challenges of Contract Administration. (2+4+4 = 10 Marks)
Ans 6.
Contract Management
Contract management refers to the process of governing contracts starting from initial creation to their finalization or renewal. It ensures that each party is able to fulfill their contractual obligations, and the company reaps the maximum potential and advantages that were intended when the contract was established. This includes management of the contract, performance monitoring relationships
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DSCM402 CATEGORY MANAGEMENT IN PURCHASING |
Assignment Set – 1
Q.1. What is Category Management? Explain the steps involved in Category Management. (3+7 = 10 Marks)
Ans 1.
What is Category Management?
Category Management is a strategic approach in purchasing and retail management, whereby products or services are organized into distinct categories, and then managed as individual business units. Each category is regarded as a strategic business segment with their own team of experts, goals, relationships with suppliers, as well as performance-related metrics. It was first introduced in the retail industry before being applied to procurement, category management allows organizations
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Q.2. What are the four pillars of category management? What are some key benefits of implementing category management in a retail business? (5+5 = 10 Marks)
Ans 2.
Four Pillars of Category Management
category management is built on four core pillars, which determine how categories are arranged, managed, and delivered to serve both the retailer and the customer effectively.
The initial pillar Consumer Understanding. A successful category management strategy starts by gaining a thorough understanding of the preferences of consumers, their needs in shopping behavior, as well as buying decision-making factors. Retailers rely on loyalty card information, market research, consumer panels, and an analysis of the basket to discover which customers buy what, the reasons they choose to
Q.3. What do you understand by team charter? Discuss the Key Measures to Improve Value Chain Efficiency. (5+5 = 10 Marks)
Ans 3.
Team Charter
A team charter is an official writing document that defines the mission, scope of membership, members and responsibilities, the operating rules and the performance standards of a group engaged in a specific task or a continuous function. In the context of categorical management, a group charter defines the structure within which the cross-functional category team works, giving clarity as to
Assignment Set – 2
Q.4. What factors contribute to the failure of innovation in businesses? Briefly explain the steps involved. (5+5 = 10 Marks)
Ans 4.
Factors Contributing to Failure of Innovation
Failure to innovate is a frequent and costly challenge for businesses despite the significant investment in new design, process enhancement and technology adoption. A variety of interconnected
Q.5. Explain the features and significance of source plan. Elaborate the Strategies for Effectively Managing Organizational Change. (5+5 = 10 Marks)
Ans 5.
Features and Significance of Source Plan
A source plan, sometimes known as a sourcing plan is a plan of action that outlines the way in which an organization will determine, analyze the selection, manage, and select vendors for a specified category over a defined plan horizon. It integrates the procurement strategy into a structured roadmap
Q.6. What is Relationship Management? Explain the Main components in category Management programme plan. (3+7 = 10 Marks)
Ans 6.
Relationship Management
Relationship management in the context of category management and procurement refers to the formal method of establishing, maintaining, and enhancing the relationships between an organisation and its principal suppliers, internal stakeholders as well as retail partners, to build sustainable value. It goes beyond transactional interactions in order to establish collaborative partnerships characterized
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DSCM401 GLOBAL LOGISTICS AND SUPPLY CHAIN MANAGEMENT |
Assignment Set – 1
Q.1. a. What are the production dispersion strategies to be implemented to promote global trade? b. What do you mean by cultural differences? How can cultural differences impact the logistics industry? (5+5 = 10 Marks)
Ans 1.
- Production Dispersion Strategies for Global Trade
Production dispersion refers to the purposeful dispersion of production and manufacturing operations across different countries in order to leverage comparative advantages, cut costs, lower the risk, and tap into new markets. Several key strategies promote global trade via production dispersion.
Offshoring involves relocating manufacturing operations to nations with lower labor costs, tax rates that are favorable and abundance of raw materials. Companies like Apple as well as Nike frequently use offshoring which is why
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Q.2. a. What are the primary types of seaports? State their challenges and benefits. b. Write a short note on history of ships and Shipping in India. (5+5 = 10 Marks)
Ans 2.
- Primary Types of Seaports: Challenges and Benefits
Seaports are divided into various basic types based upon their role, how they are used and the operational attributes.
Commercial Ports handle a wide array of general cargo bulk commodities, containerized goods, and passengers. They tend to be located near large industrial and urban centers. Their advantage is their flexibility as well as their high volume of traffic that supports the international trade and commerce. Challenges include congestion, the
Q.3. a. What are the key components of charter agreement for shipping? Explain the significance of charter agreements. b. What is the impact of ocean liner contract systems on global logistics? (5+5 = 10 Marks)
Ans 3.
- Key Components and Significance of Charter Agreements
Charter agreements are contract between a ship owner and a charterer. Under the agreement, the charterer is hired by a ship for the transportation of cargo. Key components of a charter agreement include the details of the vessel, which include name of the vessel, its type, flag net and gross tonnage the cargo capacity, as well as classification certification. The charter term defines the duration of the hire for a single or multiple voyages, a fixed time period or a certain amount of trips. The hire rate, also known as the
Assignment Set – 2
Q.4. a. Explain the role of cargo insurance in international Air Transportation. b. What are the challenges associated with road transportation in India? (5+5 = 10 Marks)
Ans 4.
- Role of Cargo Insurance in International Air Transportation
Cargo insurance during international air transportation offers financial security to shipping companies, freight forwarders and consignees against loss and damage as well as the theft of items during air transit. Despite air freight’s reputation for efficiency and speed, it is also prone to lower handling risks compared to sea cargo, air freight is prone to serious dangers such as aircraft crashes, storm-related damages, turbulence, improper loading and handling, theft at airports
Q.5. What is the role of logistics intermediaries used in E-Commerce? What are some common Incoterms used in international trade? (5+5 = 10 Marks)
Ans 5.
Role of Logistics Intermediaries in E-Commerce
Logistics intermediaries in e-commerce are third-party service providers who serve as a bridge between an online seller and the customer who purchases from them, providing specialised logistics, warehousing, transportation, and fulfilment services that enable sellers to complete orders
Q.6. a. Explain the features of documentation related to global logistics. b. What are the issues associated with importing and exporting in global sourcing? (5+5 = 10 Marks)
Ans 6.
- Features of Documentation in Global Logistics
Documentation forms the foundation of global logistics, providing the legal, financial, and operational documentation required for the transfer of goods across international borders efficiently and in compliance. Documents for global logistics share a number of important aspects.
Legal Validity is fundamental. Documents like Bill of Lading,
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DADS404 DATA SCRAPING |
Assignment Set – 1
Q.1. What factors should you consider when identifying a source for data scraping? (10 Marks)
Ans 1.
Finding the correct information source can be the vital first step in every data scraping endeavor. Unskillfully chosen sources can produce inaccurate data, legal complications as well as technical hurdles, which could lead to eventually unusable information. Certain key aspects must be carefully evaluated before making a decision on a source of automated data extraction.
Data Relevance and Quality
The main consideration is whether the source has the data fields that are specific to it as well as the granularity and coverage needed for the analysis objective. The accuracy, completeness and the speed of updating
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Q.2. Why are Wikipedia pages preferred source for data scraping? Write steps to scrape data from Wikipedia page using python library BeautifulSoup. (5+5 = 10 Marks)
Ans 2.
Why Wikipedia is a Preferred Source for Data Scraping
Wikipedia is widely considered among the top and widely accessible sites for scraping data science and research for a variety of compelling motives. For one, Wikipedia offers an enormous and varied collection of subjects that cover science, history, technology, geography, culture, sports and almost every other domain of human expertise, making it an ideal repository for the creation of datasets about almost any subject. Furthermore, Wikipedia pages are publicly accessible with no authentication
Q.3. What are the advantages and disadvantages of API based Scraping? (5+5 = 10 Marks)
Ans 3.
Advantages of API-Based Scraping
API-based scraping is the collection of data through an application or site’s official Application Programming Interface rather than simply parsing raw HTML content. APIs are structured endpoints supplied by service providers exclusively for programsmatic access to data, and offer a number of advantages over
Assignment Set – 2
Q.4. Why is scraping tweets useful for data analysis? Explain the process of collecting tweets using an API from X. (5+5 = 10 Marks)
Ans 4.
Why Scraping Tweets is Useful for Data Analysis
Twitter is now being rebranded to X Twitter, is among the most popular social media networks where millions of users express opinions and share information, talk about brands, engage with celebrities and post updates to current developments in real time. The constant stream of tweets that are
Q.5. Explain how data wrangling improves the quality of data with examples. (10 Marks)
Ans 5.
Data wrangling, also called data munging or data preprocessing, is the process of cleaning, structuring, transforming to enrich raw data into a format which is accurate, consistent, and suitable for analysis and machine-learning. Raw data collected from web scraping sensors, databases APIs or manually entered data entry usually has issues, inconsistencies or even missing value, formatting and other issues that can lead to misleading or untrue analytical results If not properly
Q.6. Discuss the importance of using dplyr for preprocessing raw data. (10 Marks)
Ans 6.
dplyr is a powerful and widely used program for manipulating data in the R programming language. It was developed by Hadley Wickham as part of the tidyverse community. It is a unified user-friendly, easy to understand, and understandable grammar of manipulating data that allows preprocessing raw datasets more efficient, appealing, and less susceptible to error in comparison to the basic R
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DADS403 BUSINESS ANALYTICS |
Assignment Set – 1
Q.1. What is Business Analytics? Discuss the role of Business Analytics in various domains of business. (5+5 = 10 Marks)
Ans 1.
Definition of Business Analytics
Businesses Analytics (BA) refers to the process of utilizing analytical techniques, such as statistical analysis and predictive modelling, data mining, and machine learning techniques to transform raw business data into actionable information that aids better decision-making. It involves the systematic analysis of a company’s data assets for competitive advantages through studying past performance, anticipating future results, and suggesting appropriate actions. Business Analytics broadly categorized into three types the descriptive type that summarizes past data in order to comprehend what took place
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Q.2. A. Discuss any one purpose of using Conjoint analysis in detail. B. Explain the following terms and how they are calculated: TRP, GRP. (5+5 = 10 Marks)
Ans 2.
- Purpose of Conjoint Analysis: Product Design and Feature Prioritisation
Conjoint analysis is a marketing research method which is employed to discover how buyers consider different features and features. It does this by providing these with product descriptions that are hypothetical and asking them to make choices or place their preferences in relation to other options. One of the most important and frequently used uses is design of products and feature prioritisation
Q.3. Discuss MDS and Perceptual Map in detail. (5+5 = 10 Marks)
Ans 3.
Multidimensional Scaling (MDS)
Multidimensional Scaling (MDS) is a technique that uses multivariate statistics to visualise the similarity or dissimilarity between sets of objects. It does this by presenting them as a series of points within some low-dimensional area, usually with two or three dimensions. The fundamental aim of MDS is to arrange objects in a geometric space such that the distances between points in that space are
Assignment Set – 2
Q.4. What is Propensity Modelling? Briefly discuss different types of Propensity Modelling. (5+5 = 10 Marks)
Ans 4.
Definition of Propensity Modelling
Propensity modeling is a mathematical and machine learning technique used to forecast the chance or chance that a particular individual or entity will take a particular action or exhibit a specific behaviour within certain time frames. It makes use of historical information about behaviors, demographic characteristics such as patterns of transactions, contextual variables to build a predictive
Q.5. Briefly discuss any five Digital Marketing techniques. (10 Marks)
Ans 5.
Digital marketing covers any marketing strategy that employs digital platforms, channels and technology to communicate with and entice target audience. The following five strategies for digital marketing are
Q.6. Elaborate RPA. Discuss the 5-step implementation approach of RPA. (5+5 = 10 Marks)
Ans 6.
Robotic Process Automation (RPA)
Automated Process Automation (RPA) is the term used to describe a method of using software robots, also known as bots to perform repetitive, rules-based, high-volume digital jobs previously carried out by human workers. RPA robots communicate with digital systems, applications, and interfaces in the same way that a human would, which includes studying data on screens by
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DADS402 UNSTRUCTURED DATA ANALYSIS |
Assignment Set – 1
Q.1. a) Define unstructured data and explain its importance in business applications with suitable examples. b) Describe the process of text preprocessing and explain the role of tokenization and lemmatization in text analysis. (5+5 = 10 Marks)
Ans 1.
- a) Unstructured Data and Its Importance
Unstructured data refers to information that does not follow the pre-defined model of data or organized schema. It is not able to be easily stored in relational databases that have columns and rows fixed. Examples are text documents, messages on social media, emails as well as audio recordings, images, video files, sensor logs, and web pages. Approximately eighty to ninety percent of all data generated globally is non-structured and this proportion continues to grow because of the increasing use
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Q.2. a) What is a word cloud, and how does it help in understanding large text datasets? b) Explain the TF-IDF technique and how it improves the identification of important words compared to simple frequency methods. (5+5 = 10 Marks)
Ans 2.
- a) Word Cloud and Its Role in Text Analysis
Word clouds, sometimes known as a tag cloud or text cloud, is an image representation of terms that are frequently used in text corpus. The words that are frequently used are displayed in larger size fonts and in more prominent places, while less frequently used word types appear smaller. The display of visuals typically utilizes diverse colors, shapes and spatial layouts to create an engaging visual representation of the information contained in huge text datasets.
Word clouds assist analysts in being able to find the most important issues, subjects, and concepts within a vast body of written text without needing to study the entire text. For example, analysing hundreds of reviews from customers for an item using a word cloud immediately reveals the most
Q.3. a) Explain the concept of text classification and its applications in real-world scenarios. b) Describe topic modelling and explain how it helps in discovering hidden patterns in text data. (5+5 = 10 Marks)
Ans 3.
- a) Text Classification and Real-World Applications
Text classification is the process of processing language that assigns categorical labels for text files based upon their content. It’s asupervised machine learning task wherein a model is trained on the examples of text that are labelled to study how to connect text characteristics and the categories they belong to and thereby allowing the model classify new unseen text into the proper category in a timely manner.
The most common pipeline used to classify text involves processing the raw text, extracting quantitative features by using techniques such as bag-of-words, TF-IDF or word embeddings, training a classification algorithm
Assignment Set – 2
Q.4. a) What are the key features of MongoDB, and why is it suitable for handling unstructured data? b) Explain how audio data is pre-processed and transformed into features for classification tasks. (5+5 = 10 Marks)
Ans 4.
- a) Key Features of MongoDB and Suitability for Unstructured Data
MongoDB is a leading open-source NoSQL document-oriented data store that holds data in flexible, JSON-like documents called BSON (Binary JSON) rather than in fixed-schema relational tables. Every document has distinct structure that allows the database to be able to hold a variety of types of data without requiring schema changes. This feature allows MongoDB fundamentally different from relational databases. It is especially suited to managing semi-structured
Q.5. a) Define image processing and explain its significance in analyzing unstructured visual data. b) Describe the process of image classification and its applications in real-world scenarios. (5+5 = 10 Marks)
Ans 5.
- a) Image Processing and Its Significance
Image processing is the art that applies computational techniques on digital images in order to improve the quality of images, to extract valuable data, or convert images into formats that are suitable for analysis further and automated decision-making. It is a foundational technology of computer vision. It plays a critical role in making unstructured visual data accessible and
Q.6. a) Explain the process of video data analysis and how patterns are extracted from video sequences. b) Describe how machine learning techniques are used for fake news detection using textual data. (5+5 = 10 Marks)
Ans 6.
- a) Video Data Analysis and Pattern Extraction
Video data is one of the most rich and demanding types of unstructured data. It is simply composed of pictures presented at one fixed frame speed, together with an audio track and temporal metadata. Data analysis of video involves obtaining significant patterns, incidents, and information from this continuous streaming of audio and visual information for applications including activity identification, anomaly detection the moderation of content, sports analytics as well as surveillance.
The video analysis pipeline starts by preparing the frame, such as extraction at a certain frequency to decrease computational load,
| SESSION | JAN-FEB 2026 |
| PROGRAM | MASTER OF BUSINESS ADMINISTRATION (MBA) |
| SEMESTER | IV |
| COURSE CODE & NAME | DADS401 ADVANCED MACHINE LEARNING |
Assignment Set – 1
Q.1. (a) Discuss the objectives of Time Series Analysis. (b) Explain Autoregressive model. (5+5 = 10 Marks)
Ans 1.
- a) Objectives of Time Series Analysis
Time series analysis is a mathematical method that is applied to data that are recorded or collected at successive identically spaced intervals in time. Its primary objective is to learn the structure and fundamentals of temporal data and use that understanding to make accurate predictions of the future’s value. Time series analysis serves several distinct and related goals in applied statistics and data science.
The initial goal is
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Q.2. Interpret ETS Model. Define the ARCH Model. Explain its usage. (5+5 = 10 Marks)
Ans 2.
ETS Model
The ETS model is a reference to Error, Trend and Seasonality. It is a model for exponential smoothing state space models that are used in forecasting time series. The name captures the three elements that the model is composed of and model separately. ETS models form a group of models instead of one model. every component being classified as All, Additive, or Multiplicative, generating the possibility of a wide range of combinations that are able to be fitted to different
Q.3. Describe a few risks associated with Artificial Intelligence. Appraise some challenges or limitations we face with Deep Learning. (5+5 = 10 Marks)
Ans 3.
- a) Risks Associated with Artificial Intelligence
Artificial Intelligence presents several significant risks that must be carefully controlled as AI technology becomes more pervasive across industries as well as the public sector. Knowing the risks is crucial to ensure the responsible AI development and deployment.
Bias and fairness
Assignment Set – 2
Q.4. (a) Discuss ANN classification models. (b) Explain the classification of layers of CNN. (5+5 = 10 Marks)
Ans 4.
- a) ANN Classification Models
Artificial Neural Networks (ANNs) are computer-generated models that draw inspiration from the form and function of neuronal cells in the human brain. They’re composed of interconnected nodes that are organized in layers which handle input data using connections and weighted ones to create output
Q.5. (a) Describe the classification of RNN based upon architecture. (b) Illustrate the difference between SARSA and Q-Learning. (5+5 = 10 Marks)
Ans 5.
- a) Classification of RNN Based on Architecture
Recurrent Neural Networks (RNNs) are the name given to a group of neural networks that are specifically developed to handle sequential data in a hidden state that collects the information of previous times. Unlike feedforward networks that process each input independently, RNNs have the ability to
Q.6. (a) Demonstrate the phases we need for doing Neural Network Analysis. (b) Reframe some algorithms commonly used with Image recognition system. (5+5 = 10 Marks)
Ans 6.
- a) Phases of Neural Network Analysis
Neural network analysis is a planned method that has several steps to construct, verify, and deploy a model that is able to learn from evidence. Each step should be performed with care to ensure that the final model is precise solid, reliable, and adapts easily to data from new sources.
- The initial phase involves collecting and exploring data, that is the process of obtaining sufficient