PIC16F877A interface LM35 temp sensor - MikroC (Collection)

This course is the key to build an excellent understanding of Inferential Statistics. It has students (from over 100 countries) and here is what some of them have to say: "Well explained sir, every concept is clear as water and the way you explain is very easy to understand the concept. Worth buying this course" ~ K Roshnishree"The explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts" ~ Swati Sahu"The detail level coverage of the basic topics is amazing" ~ Rehana Shake"This instructor is doing a fine job explaining the statistics concepts" ~ Frank Herrera"Very clear examples, thank you sir!" ~ Gitartha PathakCourse Description: This course is designed for students who are struggling with Statistics or who are complete beginners in statistics.How is this course structured? Section 1 and 2: These 2 sections cover the concepts that are crucial to understand the basics of hypothesis testing - Normal Distribution, Standard Normal Distribution, Sampling, Sampling Distribution and Central Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)Section 3: This section caters to the basics of hypothesis testing with three methods - Critical Value Method, Z-Score Method and p-value method.My approach is hands on: Concepts, examples and solved problems addressing all the concepts covered in the lectures.Note : Only Hypothesis Testing in Case of Single Population Mean is covered

Land plants have a history from the phylogeny as they have evolved from the green algae (Chlorophyta). Land plants have several characteristics in common with the chlorophytes and and other advanced plant groups. This course tells you detailed information about the seedless, non-vascular plants.Chlorophyte algae lack key traits of land plants, walled spores produced in sporangia, multicellular gametangia, dependent embryo and apical meristem. They evolved in the terrestrial environment. Plant groups can be distinguished based on the presence or absence of an extensive system of vascular tissue. Based on that there are two major groups of plants the can be seen; they are Vascular plants and Non-vascular plants.One way to distinguish a group of plants is to see whether or not they have an extensive system of vascular tissue that transport water and nutrients throughout the plant body. Most present day plants do have a complex vascular tissue system and therefore, are called vascular plants. Plants that do not have an extensive transport system are described as non vascular plants. Non vascular plants are informally named as Bryophytes. e.g. Marchantia, Pogonatum, Antheroceros Bryophytes share some derived traits with vascular plants, but lackin many innovations of vascular plants such as presence of true stems, roots and leaves.

This Module particularly consists 2 Sections that describes Case Studies on Water Audit in first half Different Softwares used for the calculation of Water Loss.Section 1 : The Case Studies of Water Audit are as follows.Case Study 1- Ashland, Oregon : Small Town, Big Savings - It's Background, Approach Results.Case Study 2- Barrie, Ontario : Wastewater Capital Deferral - It's Background, Approach Results.Case Study 3- Seattle, WA: Commercial Water Savings - It's Background, Approach Results.Section 2 : The Softwares for Calculation of Water LossSoftware 1 : WB‐EasyCalc - Overview of the software, it's working principleSoftware 2 : AWWA Free Water Audit Software - Overview of the software, it's working principleAgriculture, Residential, Commercial and institutional facilities use large amounts of water for various purposes. Increasing water efficiency among these facilities can greatly reduce overall water use. This course is detailed presentation about conducting water audit for all types of water end use. It also has hand on practice on water audit software. Course is about water management and water balance. It is easy to understand and simple to learn course with diagrams and details. This course is useful to consultants who are working in the field of water and energy audit, architects and sustainability engineer, green building designers and civil engineers.

**This course provides downloadable instructor and exercise files to help you follow along and practice.** In today's data-driven world, data analysis plays a critical role in understanding businesses, identifying trends, and forecasting needs. Having the right skills to efficiently handle and analyze data is essential.PivotTables are a key Excel tool for analyzing and visualizing large datasets. They allow you to quickly summarize and group large amounts of data interactively, making it easier to understand and present the information effectively.In this course, you'll learn the importance of cleaning your data before creating a PivotTable. You'll also explore how to create and format PivotTables and PivotCharts. We cover advanced features such as sorting, slicers, timelines, calculated fields, and conditional formatting to help you maximize the potential of this powerful tool.Designed for both beginners and intermediate users, this course will help expand your Excel skills. You can also download the Excel data files used in the tutorials to follow along step by step.This Course,Download and work with instructor-provided Excel files for hands-on practice.Understand the importance of data cleaning before creating PivotTables.Arranging the data set for the analysisLearn main excel formulasCreate PivotTables to summarize and analyze large datasets.Build and format PivotCharts for visual data representation.Utilize advanced PivotTable features like sorting, slicers, and timelines.Apply calculated fields and conditional formatting to enhance your data insights.Efficiently group and aggregate data using PivotTable tools.Expand your Excel skills for data analysis and visualization tasks.Follow along with exercise files to practice and mast

Unlock the power of Python and begin your journey into the world of programming! This course is designed for complete beginners and aspiring developers who want to build a strd practical foundation in Python.In this course, you will start with basic Python concepts such as input, variables, and syntax, then gradually move to control flow, loops, functions, and Python data structures. After building a solid foundation, you will dive into Object-Oriented Programming (OOP) concepts including Inheritance, Encapsulation, Polymorphism, and Abstraction.You will also learn file handling to work with real data and basic GUI development using Tkinter to create simple desktop applications.By the end of this course, you will have the skills and confidence to write Python programs and build practical applications.---What You Will LearnPython FundamentalsPython syntax and program structureVariables and different data typesTaking user input and displaying outputControl FlowConditional statements (if, else, elif)Logical operators and decision makingLoops & Iterationfor loopswhile loopsLoop control statements (break, continue, pass)Python Data StructuresLearn how to store and manage data efficiently:Lists – storing multiple values and performing operationsTuples – immutable collectionsDictionaries – key-value data storageSets – storing unique valuesIndexing, slicing, updating, and iterating through collectionsFunctionsCreating and calling functionsFunction parameters and return values<

Contaminated sites are everywhere - from former gas stations and dry cleaners to industrial facilities and redevelopment properties. Understanding how these sites are regulated, investigated, and remediated is essential for environmental professionals, developers, and anyone working in land development.This comprehensive crash course provides a practical, start-to-finish understanding of contaminated sites within the British Columbia regulatory framework. You will learn how contamination occurs, how it is identified through Stage 1 and Stage 2 investigations, and how groundwater and soil sampling programs are designed and executed.The course walks you through the Environmental Management Act (EMA), the Contaminated Sites Regulation (CSR), liability principles such as “polluter pays,” and how the Site Registry system works. You will also explore risk assessment fundamentals, exposure pathways, data quality requirements, and how remediation plans are structured and approved.Beyond theory, this course connects concepts to real-world practice. You will understand monitoring well design, QA/QC procedures, statistical interpretation of environmental data, and how remediation technologies such as excavation, soil vapor extraction, bioventing, and air sparging are selected.Whether you are a student, early-career consultant, developer, municipal reviewer, or experienced professional looking to refresh your knowledge, this course provides clear explanations, practical insight, and structured learning to build real confidence in contaminated site management.