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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
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This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
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2. How useful is it to learn Data Science?
High demand: There is a high demand for data scientists across various industries.
Companies are increasingly relying on data-driven decision-making to gain
insights, optimize processes, and improve products and services. As a result,
skilled data scientists are sought after to analyze data and extract valuable insights.
Versatility: Data science skills are versatile and applicable across different
domains. Whether you're interested in finance, healthcare, marketing, or any other
field, the ability to analyze and interpret data can be valuable. This versatility
opens up a wide range of career opportunities.
Innovation: Data science is at the forefront of innovation. From machine learning
and artificial intelligence to predictive analytics and data visualization, data science
techniques are driving innovation in various industries. Learning data science can
empower you to be a part of these exciting advancements.
Problem-solving: Data science involves solving complex problems by leveraging
data. It equips you with the skills to formulate hypotheses, design experiments, and
derive insights from data to address real-world challenges. These problem-solving
skills are valuable not only in data science roles but also in many other professions.
3. Who is eligible to learn Data
Science Certification Courses?
Educational Background: Many data science certification courses do not require a specific
educational background. However, having a degree in a quantitative field such as
mathematics, statistics, computer science, engineering, or economics can be beneficial. These
disciplines often provide a strong foundation in analytical thinking and programming, which
are essential for data science.
Basic Programming Skills: Proficiency in programming languages such as Python, R, or SQL is
often required or recommended for data science courses. These languages are commonly used
for data manipulation, analysis, and visualization in the field of data science. If you're new to
programming, introductory courses or tutorials are available to help you get started.
Statistics and Mathematics Knowledge: A solid understanding of statistics and mathematics is
crucial for data science. Concepts such as probability, hypothesis testing, regression analysis,
and linear algebra are frequently used in data analysis and machine learning. Some
certification courses may assume prior knowledge in these areas, while others may offer
introductory modules to help you brush up on these concepts.
Critical Thinking and Analytical Skills: Data science involves solving complex problems by
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developed through practice and hands-on experience with real-world datasets.
4. Upcoming Batches in Gurgaon
• Training Dates:
27th May 2024 ( Online – Weekday)
Course Details
• 8 Months Course
• Project work
• IABAC Certification
• Internship Project
5. What are the job opportunities
after learning Data Science
Training?
Data Scientist: Data scientists are responsible for collecting, analyzing, and
interpreting large datasets to extract valuable insights and inform business decisions.
They use techniques from statistics, machine learning, and data visualization to solve
complex problems and drive innovation.
Data Analyst: Data analysts focus on analyzing data to identify trends, patterns, and
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with structured and unstructured data to generate reports, dashboards, and
visualizations that communicate key findings to stakeholders.
Machine Learning Engineer: Machine learning engineers develop and deploy
machine learning models and algorithms to automate processes, predict outcomes, and
make recommendations. They work closely with data scientists and software engineers
to build scalable and efficient machine learning systems.
Business Intelligence Analyst: Business intelligence analysts gather and analyze data
to provide insights into business performance, market trends, and customer behavior.
They use tools such as SQL, Tableau, and Power BI to create dashboards and reports
that support strategic decision-making.
6. Datamites™
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